We're looking for a People Data Analyst who is excited to help build the bank of the future.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over a million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
In the People Collective, we want to build a world-class system to make that growth easy. We've grown from less than 20 people to over 700 people in the last 3 years. We're spread across 3 offices and 35% of our workers are distributed. ****You'll have the opportunity to work between our data team and People Collective - helping us analyse and understand our people and hiring data, enabling us to make better decisions, faster.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
You'll be the first person in this role so there is an opportunity to really define what it looks like working alongside our people organisation. Even though your focus will be working with people, you'll have lot's of opportunities to collaborate and learn from other people in the data team.
As part of your role, you'll:
Work with other internal squads to determine the most impactful data we can gather to keep us on track with company-wide goals
Guide and enable the People Collective do define the metrics that matter and build the dashboards that track those KPIs
Produce insights to help us hire the best people while doubling our headcount every six months
Design and build dashboards that inform our Executive team's People decisions
Liaise with key members of the team to make sure we collect the right data to produce relevant business insights
Deliver training to to the People Collective on how they can access and use data effectively
You should apply if:
You're excited about working on powering a world-class people organisation
You're impact driven and eager to have a real positive impact on the company, product, your colleagues
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
Nice to haves:
You have multiple years of analytics experience, preferably in a fast moving tech company
You've had exposure to working with people data before
Logistics
This role is based at our office in London, where you’ll work alongside engineers, designers, banking experts and customer support specialists to build the future of banking.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can - whether to help you meet other commitments or to help you strike a great work-life balance.
Our interview process consists of a 20-minute phone interview, a take-home test, and a half-day on-site interview. We promise not to ask you any brain teasers or trick questions.
Apr 10, 2019
Full time
We're looking for a People Data Analyst who is excited to help build the bank of the future.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over a million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
In the People Collective, we want to build a world-class system to make that growth easy. We've grown from less than 20 people to over 700 people in the last 3 years. We're spread across 3 offices and 35% of our workers are distributed. ****You'll have the opportunity to work between our data team and People Collective - helping us analyse and understand our people and hiring data, enabling us to make better decisions, faster.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
You'll be the first person in this role so there is an opportunity to really define what it looks like working alongside our people organisation. Even though your focus will be working with people, you'll have lot's of opportunities to collaborate and learn from other people in the data team.
As part of your role, you'll:
Work with other internal squads to determine the most impactful data we can gather to keep us on track with company-wide goals
Guide and enable the People Collective do define the metrics that matter and build the dashboards that track those KPIs
Produce insights to help us hire the best people while doubling our headcount every six months
Design and build dashboards that inform our Executive team's People decisions
Liaise with key members of the team to make sure we collect the right data to produce relevant business insights
Deliver training to to the People Collective on how they can access and use data effectively
You should apply if:
You're excited about working on powering a world-class people organisation
You're impact driven and eager to have a real positive impact on the company, product, your colleagues
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
Nice to haves:
You have multiple years of analytics experience, preferably in a fast moving tech company
You've had exposure to working with people data before
Logistics
This role is based at our office in London, where you’ll work alongside engineers, designers, banking experts and customer support specialists to build the future of banking.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can - whether to help you meet other commitments or to help you strike a great work-life balance.
Our interview process consists of a 20-minute phone interview, a take-home test, and a half-day on-site interview. We promise not to ask you any brain teasers or trick questions.
We're looking for a curious, adaptable data analyst to help us make Monzo’s products as amazing as possible for all of our customers and the whole of our team.
At Monzo, we are building the best bank account in the world: fair, transparent and a pleasure to use. Our data team’s mission is to enable Monzo to operate 10x more efficiently than traditional banks, and to make our product as useful as possible for our customers. As a finance data analyst you will therefore need to be always one step ahead of everyone else and drive the shared understanding of our customers, products and our finances.
The Role
You’ll be at the intersection between Finance and Data - deep diving into financial analytics, particularly around the economics of our customers, and driving automation across a range of finance processes.
You’ll help us with the following questions and challenges:
How can we build a robust data framework between our internal banking platform and financial ledger that supports all our reporting and analysis needs?
How are our customers and products performing financially; how can we use this information to better understand our customers and drive optimal business decisions?
How do product rollouts and customer behaviours impact our liquidity and capital position as a bank?
What are the high impact automation tools that can be built for the finance team so we minimise time spent on recurring processes?
You will be responsible for all the data needs of the finance team, from supporting the build of our finance data infrastructure to producing the outputs whether it be building easy to understand KPI dashboards that measure our financial health or presenting customer analysis to senior management, and proposing solutions to identified problems.
You’ll also work closely with engineers across the company to ensure that we are collecting all the necessary data that we will need for future analyses.
We’re looking for someone who cares deeply about understanding our business and customers, who can communicate their findings clearly to business partners and can drive actions on top of insights.
You should apply if you:
are happiest exploring data, making discoveries and understanding their implications
delight in automating processes, building datasets and analysing data to support business decisions
have a solid grounding in SQL (Python knowledge is a plus)
have previously worked in an analytics/finance environment - for example in a tech start-up, management consulting or investment banking
have basic finance knowledge, e.g. how accounting works or what financial statements mean
what we’re doing here at Monzo excites you!
Logistics
This role is based at our office in London, where you’ll work alongside financial analysts, engineers, product managers and banking experts to build the future of banking. Our interview process consists of a 20-minute phone interview, a take-home test, and a half-day on-site interview. We promise not to ask you any brain teasers or trick questions.
Questions about this role? Head over to our careers page to read our FAQs (www.monzo.com/careers) or email [email protected]
Apr 10, 2019
Full time
We're looking for a curious, adaptable data analyst to help us make Monzo’s products as amazing as possible for all of our customers and the whole of our team.
At Monzo, we are building the best bank account in the world: fair, transparent and a pleasure to use. Our data team’s mission is to enable Monzo to operate 10x more efficiently than traditional banks, and to make our product as useful as possible for our customers. As a finance data analyst you will therefore need to be always one step ahead of everyone else and drive the shared understanding of our customers, products and our finances.
The Role
You’ll be at the intersection between Finance and Data - deep diving into financial analytics, particularly around the economics of our customers, and driving automation across a range of finance processes.
You’ll help us with the following questions and challenges:
How can we build a robust data framework between our internal banking platform and financial ledger that supports all our reporting and analysis needs?
How are our customers and products performing financially; how can we use this information to better understand our customers and drive optimal business decisions?
How do product rollouts and customer behaviours impact our liquidity and capital position as a bank?
What are the high impact automation tools that can be built for the finance team so we minimise time spent on recurring processes?
You will be responsible for all the data needs of the finance team, from supporting the build of our finance data infrastructure to producing the outputs whether it be building easy to understand KPI dashboards that measure our financial health or presenting customer analysis to senior management, and proposing solutions to identified problems.
You’ll also work closely with engineers across the company to ensure that we are collecting all the necessary data that we will need for future analyses.
We’re looking for someone who cares deeply about understanding our business and customers, who can communicate their findings clearly to business partners and can drive actions on top of insights.
You should apply if you:
are happiest exploring data, making discoveries and understanding their implications
delight in automating processes, building datasets and analysing data to support business decisions
have a solid grounding in SQL (Python knowledge is a plus)
have previously worked in an analytics/finance environment - for example in a tech start-up, management consulting or investment banking
have basic finance knowledge, e.g. how accounting works or what financial statements mean
what we’re doing here at Monzo excites you!
Logistics
This role is based at our office in London, where you’ll work alongside financial analysts, engineers, product managers and banking experts to build the future of banking. Our interview process consists of a 20-minute phone interview, a take-home test, and a half-day on-site interview. We promise not to ask you any brain teasers or trick questions.
Questions about this role? Head over to our careers page to read our FAQs (www.monzo.com/careers) or email [email protected]
We're looking for a Product Data Scientist / Data Analyst excited to help build the bank of the future. You'll have the opportunity to super charge our user growth in 2019 and help us to build a bank that customers truly love.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over one and a half million customers in the UK, with over 130,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 2 product squads alongside engineers, designers, marketers, product managers etc.
As part of your role, you'll:
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
Nice to haves:
You have multiple years of experience in product or growth analytics, preferably in a fast moving tech company
You have experience in conducting large scale A/B experiments in the past
Apr 10, 2019
Full time
We're looking for a Product Data Scientist / Data Analyst excited to help build the bank of the future. You'll have the opportunity to super charge our user growth in 2019 and help us to build a bank that customers truly love.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over one and a half million customers in the UK, with over 130,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 2 product squads alongside engineers, designers, marketers, product managers etc.
As part of your role, you'll:
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
Nice to haves:
You have multiple years of experience in product or growth analytics, preferably in a fast moving tech company
You have experience in conducting large scale A/B experiments in the past
At Monzo we do things differently: we care deeply about our customers and are innovative. We believe there’s a better way to do banking. We want to be the best possible bank without getting stuck in the old ways of doing things.
We are looking to revolutionise the way consumers manage their finances by putting them in control and promoting their financial wellbeing. To do so, we are currently building a best-in-class Credit Decision Engine and are looking for highly intelligent and creative individuals to help us on our journey.
You'll spend your time:
Growing and developing a team of exceptional data scientists who work at the intersection of data and lending
Deploying best-in-class segmented credit models and credit decision processes to increase acceptance rates, control credit losses to match our risk appetite and make sure we lend responsibly
Analysing data to drive insights that would produce better customer outcomes and deliver them by creating new rulesets/decision processes
Communicating our strategy across the business
Ensuring we operate in a compliant, customer-centric way
Facilitating data-driven decisions wherever possible
You should apply if:
You have people mentoring/developing experience in formal or informal capacity and you really enjoy that part of the job
You have strong technical experience creating automated decision processes for consumer credit products such as credit risk scorecards, affordability estimators, policy rule models and other credit decision processes
You have excellent SQL skills and are competent in at least one of Python or R
You have a passion for data, machine learning and problem solving
You can work in an extremely fast paced start-up environment
You’re able to build strong, mutually respectful relationships with diverse teams
You are extremely self-motivated and you can work autonomously
You’re excited about the future of banking and want to work with us to shape it
You are motivated by impact
You are keen to learn
Logistics
The application process consists of a short phone interview, followed by a practical written exercise followed by on-site interviews at our office in London.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can – whether to help you meet other commitments or to help you strike a great work-life balance. We’re keen to ensure we’re designing a bank that works for everyone, so we particularly encourage applications from different underrepresented demographics.
Competitive salary plus stock options and other benefits.
Apr 10, 2019
Full time
At Monzo we do things differently: we care deeply about our customers and are innovative. We believe there’s a better way to do banking. We want to be the best possible bank without getting stuck in the old ways of doing things.
We are looking to revolutionise the way consumers manage their finances by putting them in control and promoting their financial wellbeing. To do so, we are currently building a best-in-class Credit Decision Engine and are looking for highly intelligent and creative individuals to help us on our journey.
You'll spend your time:
Growing and developing a team of exceptional data scientists who work at the intersection of data and lending
Deploying best-in-class segmented credit models and credit decision processes to increase acceptance rates, control credit losses to match our risk appetite and make sure we lend responsibly
Analysing data to drive insights that would produce better customer outcomes and deliver them by creating new rulesets/decision processes
Communicating our strategy across the business
Ensuring we operate in a compliant, customer-centric way
Facilitating data-driven decisions wherever possible
You should apply if:
You have people mentoring/developing experience in formal or informal capacity and you really enjoy that part of the job
You have strong technical experience creating automated decision processes for consumer credit products such as credit risk scorecards, affordability estimators, policy rule models and other credit decision processes
You have excellent SQL skills and are competent in at least one of Python or R
You have a passion for data, machine learning and problem solving
You can work in an extremely fast paced start-up environment
You’re able to build strong, mutually respectful relationships with diverse teams
You are extremely self-motivated and you can work autonomously
You’re excited about the future of banking and want to work with us to shape it
You are motivated by impact
You are keen to learn
Logistics
The application process consists of a short phone interview, followed by a practical written exercise followed by on-site interviews at our office in London.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can – whether to help you meet other commitments or to help you strike a great work-life balance. We’re keen to ensure we’re designing a bank that works for everyone, so we particularly encourage applications from different underrepresented demographics.
Competitive salary plus stock options and other benefits.
We're looking for a curious, adaptable Data Analyst / Scientist to join the Data & Customer Operations teams at Monzo
You'll have the chance to analyse all aspects of our customer support operations and help the teams scale how we work to support millions of customers.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of everyday data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the head space to focus on more impactful business questions and analyses.
The Data, Customer Operations & Scalers teams
The data team's mission is to
Enable Monzo to Make Better Decisions, Faster
This mission encompasses three major areas of work: (1) product analytics, to help teams understand our customers and improve our app (2) domain analytics, to support teams who are working in specific banking disciplines (e.g., lending, operations, finance, and financial crime), and (3) machine learning, where we design and build system that automate decisions across Monzo. While we take a flexible approach and frequently help each other across these areas, we each have one domain as our primary focus. We work in cross-functional squads, so every data scientist is a member of the central data team as well as fully embedded into another team alongside engineers, designers, product managers etc.
For this role, we are looking for a Data Analyst / Scientist who will focus on customer operations analytics . You’ll be working at the intersection of the Data, Customer Operations, and Scalers teams.
The Customer Operations team look after the tasks within Monzo that scale with customers. They're a crucial link between Monzo and our users. They help people manage their money, solve their problems, and listen to their feedback on our features. The Scalers team makes sure we can support Monzo’s explosive growth through running a variety of optimisation projects for Customer Operations.
The role
You’ll help us with the following questions and challenges:
What our customers are contacting us about and why
How impactful was the last product release in terms of customer query volume and what we can do better
What sets the most effective COps (the lovely customer support people who chat to our customers) apart
How are we doing with respect to hitting our service targets (e.g. waiting time on a call) and how can we empower teams to prioritise their work better
Which features we should develop in our internal tooling next, based on analytics and performance metrics
How can we automate our processes in a way that will allow us to scale to 1 billion customers and thousands of COps
You’ll interface with people across Operations, being their primary contact on all things data, from individual performance dashboards to analysing long term trends.
You’ll also work closely with engineers in the Scalers team to ensure that we are collecting all the necessary data that we will need for future analyses. You will help us make data-driven decisions and shape the direction of internal product development, as well as how we can further reduce customer contact in the future.
We’re looking for someone who cares deeply about understanding our business and customers, who can communicate their findings clearly to business partners and can drive actions on top of insights.
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. If you want to train a Machine Learning model faster, just spin up a compute engine instances and submit a job from your local machine, no DevOps skills required.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You've done a similar role for at least a year
You want to have a real positive impact on the company, product, users and your colleagues
You pro-actively identify issues, and enjoy tackling them and coming up with solutions
You’re comfortable getting hands-on and taking a step back to think strategically
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You are happiest exploring data, making discoveries and understanding their implications
You can manage multiple stakeholders with competing priorities
Logistics
This role is based at our office in London.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can - whether to help you meet other commitments or to help you strike a great work-life balance.
Our interview process consists of a 30-minute phone interview, a take-home test, and a half-day on-site interview. We promise not to ask you any brain teasers or trick questions!
Questions about this role? Head over to our careers page to read our FAQs ( www.monzo.com/careers ) or email [email protected]
Apr 10, 2019
Full time
We're looking for a curious, adaptable Data Analyst / Scientist to join the Data & Customer Operations teams at Monzo
You'll have the chance to analyse all aspects of our customer support operations and help the teams scale how we work to support millions of customers.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of everyday data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the head space to focus on more impactful business questions and analyses.
The Data, Customer Operations & Scalers teams
The data team's mission is to
Enable Monzo to Make Better Decisions, Faster
This mission encompasses three major areas of work: (1) product analytics, to help teams understand our customers and improve our app (2) domain analytics, to support teams who are working in specific banking disciplines (e.g., lending, operations, finance, and financial crime), and (3) machine learning, where we design and build system that automate decisions across Monzo. While we take a flexible approach and frequently help each other across these areas, we each have one domain as our primary focus. We work in cross-functional squads, so every data scientist is a member of the central data team as well as fully embedded into another team alongside engineers, designers, product managers etc.
For this role, we are looking for a Data Analyst / Scientist who will focus on customer operations analytics . You’ll be working at the intersection of the Data, Customer Operations, and Scalers teams.
The Customer Operations team look after the tasks within Monzo that scale with customers. They're a crucial link between Monzo and our users. They help people manage their money, solve their problems, and listen to their feedback on our features. The Scalers team makes sure we can support Monzo’s explosive growth through running a variety of optimisation projects for Customer Operations.
The role
You’ll help us with the following questions and challenges:
What our customers are contacting us about and why
How impactful was the last product release in terms of customer query volume and what we can do better
What sets the most effective COps (the lovely customer support people who chat to our customers) apart
How are we doing with respect to hitting our service targets (e.g. waiting time on a call) and how can we empower teams to prioritise their work better
Which features we should develop in our internal tooling next, based on analytics and performance metrics
How can we automate our processes in a way that will allow us to scale to 1 billion customers and thousands of COps
You’ll interface with people across Operations, being their primary contact on all things data, from individual performance dashboards to analysing long term trends.
You’ll also work closely with engineers in the Scalers team to ensure that we are collecting all the necessary data that we will need for future analyses. You will help us make data-driven decisions and shape the direction of internal product development, as well as how we can further reduce customer contact in the future.
We’re looking for someone who cares deeply about understanding our business and customers, who can communicate their findings clearly to business partners and can drive actions on top of insights.
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. If you want to train a Machine Learning model faster, just spin up a compute engine instances and submit a job from your local machine, no DevOps skills required.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You've done a similar role for at least a year
You want to have a real positive impact on the company, product, users and your colleagues
You pro-actively identify issues, and enjoy tackling them and coming up with solutions
You’re comfortable getting hands-on and taking a step back to think strategically
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You are happiest exploring data, making discoveries and understanding their implications
You can manage multiple stakeholders with competing priorities
Logistics
This role is based at our office in London.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can - whether to help you meet other commitments or to help you strike a great work-life balance.
Our interview process consists of a 30-minute phone interview, a take-home test, and a half-day on-site interview. We promise not to ask you any brain teasers or trick questions!
Questions about this role? Head over to our careers page to read our FAQs ( www.monzo.com/careers ) or email [email protected]
The Company
WorldRemit is changing the way people send money abroad. We’ve taken something complicated and made it simple. Tap the WorldRemit App or click our website and your international transfer is made – to a bank account, cash pickup, Mobile Money, or airtime top-up.
Changing the world isn’t easy – so we only hire the most talented people. You need to think differently, believe in new solutions to old problems, and have the drive to make them happen.
The Role and Opportunity
WorldRemit is sending remittances from over 50 send countries to over 150 receive countries and the number is growing monthly. Each of these corridors have different commercial and competitive characteristics
We are looking for a Senior Commercial Insights Analyst that will support our data driven culture, leveraging the ever-expanding range of data sources we have available to improve our pricing decisions, from exploring our competitive landscape to understanding the way customers use our service.
Responsibilities
As the Senior Commercial Insights Analyst, you will use your ability in SQL and Excel to create analytically driven recommendations that shape pricing strategy and maximise ROI. Your solutions will influence international pricing decisions and create new opportunities that enhance business-wide performance. On the technical side, you will be working with a wide variety of technologies (e.g. Tableau, Python or R…) to retrieve and analyse the transactional data, and more importantly, apply your data mining and/or statistical skills to obtain actionable pricing insights.
More specifically, to:
Translate business questions from the other pricing team members into specific hypotheses that can be answered quantitatively with our data
Automate reporting processes and dashboards, audit data from external sources and aggregate information from multiple data sources
Share insights that will shape our understanding and help us to predict how customer will react (or not) to proposed pricing changes
Contribute to the industrialization of analytics, creating reproducible analysis that can provide insight in a continuously moving environment. For example, evaluation of the impact of pricing changes on the different business KPIs
Support the creation of models that will help us understand the pricing strategies of key competitors
Engage with senior stakeholders to ensure pricing insights are at the heart of company decisions
Key Attributes
Strong analytical capability and evidence of being able to transform data into actionable insights
An ability to see the bigger picture: a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information
Passion for learning, able to quickly adopt new business concepts and technologies.
Skill and Experience
Extensive experience in data analysis ideally within a business to consumer industry. Experience in international markets and/or fast-growing companies particularly valued
Prior commercial or pricing experience would be preferred but a keen interest in pricing analysis is essential
Very strong SQL skills, able to handle complex data structures from multiple sources (Big Data, conventional DBs) and different areas (digital, transactional, marketing…)
Experience building dashboard or self-serve tools, with preference for Tableau
Experience using statistical methods to create models and analyse large dataset using a language of your choice (e.g. R, Python)
Advanced Excel
Apr 05, 2019
Full time
The Company
WorldRemit is changing the way people send money abroad. We’ve taken something complicated and made it simple. Tap the WorldRemit App or click our website and your international transfer is made – to a bank account, cash pickup, Mobile Money, or airtime top-up.
Changing the world isn’t easy – so we only hire the most talented people. You need to think differently, believe in new solutions to old problems, and have the drive to make them happen.
The Role and Opportunity
WorldRemit is sending remittances from over 50 send countries to over 150 receive countries and the number is growing monthly. Each of these corridors have different commercial and competitive characteristics
We are looking for a Senior Commercial Insights Analyst that will support our data driven culture, leveraging the ever-expanding range of data sources we have available to improve our pricing decisions, from exploring our competitive landscape to understanding the way customers use our service.
Responsibilities
As the Senior Commercial Insights Analyst, you will use your ability in SQL and Excel to create analytically driven recommendations that shape pricing strategy and maximise ROI. Your solutions will influence international pricing decisions and create new opportunities that enhance business-wide performance. On the technical side, you will be working with a wide variety of technologies (e.g. Tableau, Python or R…) to retrieve and analyse the transactional data, and more importantly, apply your data mining and/or statistical skills to obtain actionable pricing insights.
More specifically, to:
Translate business questions from the other pricing team members into specific hypotheses that can be answered quantitatively with our data
Automate reporting processes and dashboards, audit data from external sources and aggregate information from multiple data sources
Share insights that will shape our understanding and help us to predict how customer will react (or not) to proposed pricing changes
Contribute to the industrialization of analytics, creating reproducible analysis that can provide insight in a continuously moving environment. For example, evaluation of the impact of pricing changes on the different business KPIs
Support the creation of models that will help us understand the pricing strategies of key competitors
Engage with senior stakeholders to ensure pricing insights are at the heart of company decisions
Key Attributes
Strong analytical capability and evidence of being able to transform data into actionable insights
An ability to see the bigger picture: a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information
Passion for learning, able to quickly adopt new business concepts and technologies.
Skill and Experience
Extensive experience in data analysis ideally within a business to consumer industry. Experience in international markets and/or fast-growing companies particularly valued
Prior commercial or pricing experience would be preferred but a keen interest in pricing analysis is essential
Very strong SQL skills, able to handle complex data structures from multiple sources (Big Data, conventional DBs) and different areas (digital, transactional, marketing…)
Experience building dashboard or self-serve tools, with preference for Tableau
Experience using statistical methods to create models and analyse large dataset using a language of your choice (e.g. R, Python)
Advanced Excel
The Company
WorldRemit is changing the way people send money abroad. We’ve taken something complicated and made it simple. Tap the WorldRemit App or click our website and your international transfer is made – to a bank account, cash pickup, Mobile Money, or airtime top-up.
Changing the world isn’t easy – so we only hire the most talented people. You need to think differently, believe in new solutions to old problems, and have the drive to make them happen.
The Role and Opportunity
WorldRemit is sending remittances from over 50 send countries to over 140 receive countries and the number is growing monthly. Each of these corridors have different commercial and competitive characteristics
We are looking for an Insight Analyst that will support our data driven culture, leveraging the ever-expanding range of data sources we have available to make better decisions, from exploring our competitive landscape to understanding the way customers use our service.
Our team supports the business across all different areas, so we tackle a wide variety of problems, ranging from the highest macro level (e.g. identifying patterns across countries) to the most specific operational issues (e.g. automatic identification of the drivers of payment failures), and most importantly we support the business at strategic level (e.g. creating customer models to build more value).
This is an amazing opportunity for a data driven individual to play a key role in the continued growth of one of the UK’s leading FinTech companies; and a very exciting challenge to put analytical skills to the test against an international context.
Responsibilities
On the business side, work closely with a variety of stakeholders across the company, understanding the key areas where we can make a difference. You will create analytical solutions, extract insights and propose actions based on solid data analysis and modelling.
On the technical side, you will be working with a wide variety of technologies (e.g. the Amazon Big Data ecosystem, Tableau, Python…) to retrieve and analyse the data, and applying your mathematical and statistical skill to obtain insights.
More specifically, to:
Translate business questions from different departments (e.g. finance, marketing, fraud, operations, customer service etc.) into specific hypotheses that can be answered quantitatively with our data
Contribute to the industrialization of analytics, creating reproducible analysis that can provide insight in a continuously moving environment
Support the creation of models that will help us understand the market behaviour
Devise methodologies that will allow us to evaluate the impact of projects on the different business KPIs
Identify opportunities for improvements through data analysis, and champion the usage of data to derive commercial insights and drive action across the business
Present results to key stakeholders
Key Attributes
Excellent analytical problem-solving skills in a very dynamic environment, able to tackle problems from multiple areas of the business.
Capable of developing full analytical projects end to end, from the business problem to the final insights and actions.
Passion for learning, able to quickly adopt new business concepts and technologies.
Skill and Experience
2+ years of experience in data analysis within a business to consumer industry, preferably in financial services or technology. Experience in international markets and/or fast-growing companies particularly valued.
Very strong SQL skills, able to handle complex data structures from multiple sources (Big Data, conventional DBs) and different areas (digital, transactional, marketing…)
Experience building dashboard or self-serve tools, with preference for Tableau.
Strong analytical capability and evidence of being able to transform data into actionable insights.
Experience using mathematical/statistical methods to create models and/or forecasts. Familiarity with statistical software is a plus, particularly R or Python.
Apr 05, 2019
Full time
The Company
WorldRemit is changing the way people send money abroad. We’ve taken something complicated and made it simple. Tap the WorldRemit App or click our website and your international transfer is made – to a bank account, cash pickup, Mobile Money, or airtime top-up.
Changing the world isn’t easy – so we only hire the most talented people. You need to think differently, believe in new solutions to old problems, and have the drive to make them happen.
The Role and Opportunity
WorldRemit is sending remittances from over 50 send countries to over 140 receive countries and the number is growing monthly. Each of these corridors have different commercial and competitive characteristics
We are looking for an Insight Analyst that will support our data driven culture, leveraging the ever-expanding range of data sources we have available to make better decisions, from exploring our competitive landscape to understanding the way customers use our service.
Our team supports the business across all different areas, so we tackle a wide variety of problems, ranging from the highest macro level (e.g. identifying patterns across countries) to the most specific operational issues (e.g. automatic identification of the drivers of payment failures), and most importantly we support the business at strategic level (e.g. creating customer models to build more value).
This is an amazing opportunity for a data driven individual to play a key role in the continued growth of one of the UK’s leading FinTech companies; and a very exciting challenge to put analytical skills to the test against an international context.
Responsibilities
On the business side, work closely with a variety of stakeholders across the company, understanding the key areas where we can make a difference. You will create analytical solutions, extract insights and propose actions based on solid data analysis and modelling.
On the technical side, you will be working with a wide variety of technologies (e.g. the Amazon Big Data ecosystem, Tableau, Python…) to retrieve and analyse the data, and applying your mathematical and statistical skill to obtain insights.
More specifically, to:
Translate business questions from different departments (e.g. finance, marketing, fraud, operations, customer service etc.) into specific hypotheses that can be answered quantitatively with our data
Contribute to the industrialization of analytics, creating reproducible analysis that can provide insight in a continuously moving environment
Support the creation of models that will help us understand the market behaviour
Devise methodologies that will allow us to evaluate the impact of projects on the different business KPIs
Identify opportunities for improvements through data analysis, and champion the usage of data to derive commercial insights and drive action across the business
Present results to key stakeholders
Key Attributes
Excellent analytical problem-solving skills in a very dynamic environment, able to tackle problems from multiple areas of the business.
Capable of developing full analytical projects end to end, from the business problem to the final insights and actions.
Passion for learning, able to quickly adopt new business concepts and technologies.
Skill and Experience
2+ years of experience in data analysis within a business to consumer industry, preferably in financial services or technology. Experience in international markets and/or fast-growing companies particularly valued.
Very strong SQL skills, able to handle complex data structures from multiple sources (Big Data, conventional DBs) and different areas (digital, transactional, marketing…)
Experience building dashboard or self-serve tools, with preference for Tableau.
Strong analytical capability and evidence of being able to transform data into actionable insights.
Experience using mathematical/statistical methods to create models and/or forecasts. Familiarity with statistical software is a plus, particularly R or Python.
About us
GoCardless is building a new global network for recurring bank-to-bank payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts. Our API powers recurring payments for companies like the Financial Times, Thomas Cook and Nutmeg. It also enables partners including Quickbooks, Xero and Sage to help tens of thousands of small businesses to save countless hours spent chasing customers for payments.
The role
As an experienced Marketing Data Analyst practitioner you’ll bring your expertise to bear on our data and business, building out our data analysis capabilities with the Marketing function. Your key contribution will be to define, generate, analyse, interpret and communicate the metrics which underpin our sales and marketing objectives. You’ll help the UK and International marketing managers make better, faster, more data-driven decisions and develop an expert knowledge of all areas of our global marketing operation. You’ll sit within our Marketing Operations function with a dotted line to our data and BI teams. You’ll be required to work with technical and non-technical people across the whole company, from Operations to Marketing to Sales. The main elements of this role will involve:
Building new Marketing BI capability: working with the Demand Generation team to agree clear, unambiguous KPI definitions and mapping the relationships between leading and lagging metrics.
Setting up, configuring and maintaining analytics tracking using Tag Management Systems (Google Tag Manager)
Building, maintaining and communicating reports and dashboards to track Marketing’s key performance indicators against departmental objectives/targets.
Working with stakeholders across the Marketing team to enable them to self-serve business intelligence through marketing tools like Bizible, Google Analytics, Looker, Pardot and Salesforce.
Working with the central BI team to prototype, design and build reporting frameworks which can be adopted across Geos.
Undertaking deep-dive analyses of post-campaign performance to put forward hypotheses and recommendations for future initiatives.
Some example of the types of challenges that you’ll help the business with: “Should we be investing more in PPC or Content syndication activities this QTR?” "Is event XYZ generating us significant ROI and worth continuing with this year?” "What campaign activities are contributing the most to bottom line revenue?”
“Are the French Demand Generation programmes yielding the same CTR as that of the UK?”
“How is Channel XYZ performing YTD and YOY?”
“Which email within XYZ programme needs immediate attention for a content update?”
“Which channels are contributing the most to funnel stage X, Y or Z?”
Who we're looking for:
A Marketing data analyst with a proven track record of enabling marketing teams to make better data-driven decisions
You can turn complex business requirements into scalable, robust, explorable data products
You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
You’re curious in nature and keen to identify the ‘why’ within a data set
You’re used to talking about your work with clarity to your immediate team and senior management
A strong understanding & scepticism about the features and limitations of different data sources
You’re good at quickly getting a grasp of any dataset that you're working with
Somebody that is keen to critique a dataset
You can judge when an analysis requires a 5 decimal point precision versus a back-of-the-envelope calculation
You’ll have experienced the technical challenges of setting up BI reporting for a fast-growing global B2B marketing function
You’ll be able to demonstrate how you have automated repetitive tasks to make you and your team more efficient
Requirements:
You have commercial experience in a fast moving company
You’re as comfortable building ETL pipelines as you are visualising insights and finding the business narrative in the data
You have a vast wealth of experience working with a Marketing ‘tech stack’ including but not limited to tools such as Bizible, Pardot, Google Analytics and Salesforce.
You are a marketing data analyst specialist and can demonstrate how you have exclusively supported this business function.
A degree (or equivalent work experience) in a numerate field (Business / Commercial / Science / Maths etc).
You have very strong data visualisation skills, including usage of self-serve tools like Tableau, QlikView, Looker or similar.
You can communicate your analyses clearly to both technical and non-technical audiences in both verbal and written format.
Have a strong sense of ‘Team’ and willing to support those around you.
Advanced SQL skills would be advantageous but are not essential
Previous experience setting up and managing a DMP would be advantageous but is not essential
This role would suit someone with a minimum of 4 years experience, having worked as a senior level marketing data analyst within the marketing function of a SaaS or tech organisation.
We welcome a wide diversity of candidates from varying backgrounds – if you're unsure, please apply.
Mar 27, 2019
Full time
About us
GoCardless is building a new global network for recurring bank-to-bank payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts. Our API powers recurring payments for companies like the Financial Times, Thomas Cook and Nutmeg. It also enables partners including Quickbooks, Xero and Sage to help tens of thousands of small businesses to save countless hours spent chasing customers for payments.
The role
As an experienced Marketing Data Analyst practitioner you’ll bring your expertise to bear on our data and business, building out our data analysis capabilities with the Marketing function. Your key contribution will be to define, generate, analyse, interpret and communicate the metrics which underpin our sales and marketing objectives. You’ll help the UK and International marketing managers make better, faster, more data-driven decisions and develop an expert knowledge of all areas of our global marketing operation. You’ll sit within our Marketing Operations function with a dotted line to our data and BI teams. You’ll be required to work with technical and non-technical people across the whole company, from Operations to Marketing to Sales. The main elements of this role will involve:
Building new Marketing BI capability: working with the Demand Generation team to agree clear, unambiguous KPI definitions and mapping the relationships between leading and lagging metrics.
Setting up, configuring and maintaining analytics tracking using Tag Management Systems (Google Tag Manager)
Building, maintaining and communicating reports and dashboards to track Marketing’s key performance indicators against departmental objectives/targets.
Working with stakeholders across the Marketing team to enable them to self-serve business intelligence through marketing tools like Bizible, Google Analytics, Looker, Pardot and Salesforce.
Working with the central BI team to prototype, design and build reporting frameworks which can be adopted across Geos.
Undertaking deep-dive analyses of post-campaign performance to put forward hypotheses and recommendations for future initiatives.
Some example of the types of challenges that you’ll help the business with: “Should we be investing more in PPC or Content syndication activities this QTR?” "Is event XYZ generating us significant ROI and worth continuing with this year?” "What campaign activities are contributing the most to bottom line revenue?”
“Are the French Demand Generation programmes yielding the same CTR as that of the UK?”
“How is Channel XYZ performing YTD and YOY?”
“Which email within XYZ programme needs immediate attention for a content update?”
“Which channels are contributing the most to funnel stage X, Y or Z?”
Who we're looking for:
A Marketing data analyst with a proven track record of enabling marketing teams to make better data-driven decisions
You can turn complex business requirements into scalable, robust, explorable data products
You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
You’re curious in nature and keen to identify the ‘why’ within a data set
You’re used to talking about your work with clarity to your immediate team and senior management
A strong understanding & scepticism about the features and limitations of different data sources
You’re good at quickly getting a grasp of any dataset that you're working with
Somebody that is keen to critique a dataset
You can judge when an analysis requires a 5 decimal point precision versus a back-of-the-envelope calculation
You’ll have experienced the technical challenges of setting up BI reporting for a fast-growing global B2B marketing function
You’ll be able to demonstrate how you have automated repetitive tasks to make you and your team more efficient
Requirements:
You have commercial experience in a fast moving company
You’re as comfortable building ETL pipelines as you are visualising insights and finding the business narrative in the data
You have a vast wealth of experience working with a Marketing ‘tech stack’ including but not limited to tools such as Bizible, Pardot, Google Analytics and Salesforce.
You are a marketing data analyst specialist and can demonstrate how you have exclusively supported this business function.
A degree (or equivalent work experience) in a numerate field (Business / Commercial / Science / Maths etc).
You have very strong data visualisation skills, including usage of self-serve tools like Tableau, QlikView, Looker or similar.
You can communicate your analyses clearly to both technical and non-technical audiences in both verbal and written format.
Have a strong sense of ‘Team’ and willing to support those around you.
Advanced SQL skills would be advantageous but are not essential
Previous experience setting up and managing a DMP would be advantageous but is not essential
This role would suit someone with a minimum of 4 years experience, having worked as a senior level marketing data analyst within the marketing function of a SaaS or tech organisation.
We welcome a wide diversity of candidates from varying backgrounds – if you're unsure, please apply.
We’re looking for talented, experienced Senior Data Scientists to join our growing Data Science team.
GoCardless is building a new global network for recurring payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts.
Annual payment volume at GoCardless exceeds £3.5 billion, and we’re processing up to hundreds of thousands of transactions every day. As we grow, there is an increasing demand for data across all functions. Our ability to understand our users, and make sound and timely business decisions is hugely dependent our ability to extract meaning from this data.
The data team exists to enable GoCardless to make smarter decisions by providing a combination of data oriented products, solutions and technologies. The data team is building data products that massively enhance the value and differentiation of our products at a global scale.
THE ROLE
Data is at the centre of our ability to add value to our customers and to our business. Fraud prevention, marketing optimisation, churn prevention, payment failure optimisation and upsell propensity are all areas of active work. You will work closely with cross-discipline teams, taking responsibility for end to end algorithm development from initial concept through to production readiness.
We are looking for Data Scientists that will help us build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building new data products that leverage our growing volume of raw data.
You will develop and productionise data products and predictive models in collaboration with your team. Working with Product Managers, software developers and subject matter experts, you’ll bring your own expertise to the team helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the teams goals.
You will play a part in specifying the underlying infrastructure we are building to support the day to day work of Data Scientists and to enable models to be easily productionised.
You will create meaningful data visualizations that communicate your findings and relate them back to how your insights create business impact.
WHO WE’RE LOOKING FOR
You’re a self-starter - you can independently drive a team's work forward, finding and exploiting opportunities where data science can impact our business objectives.
You love digging into data and uncovering actionable insights
You’re passionate about using data to help teams become more productive
You have intellectual curiosity
You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
REQUIREMENTS
You’ll have a degree (or PhD) in a numerate discipline (or have substantial relevant experience).
You'll have substantial commercial experience building robust ML models in a production environment.
You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)
You have solid experience of deep-dive analysis of complex data; managing data quality; feature selection; and prototyping, validation, and productionisation of Machine Learning models.
You’ll be able to point to a range of different techniques to solve a problem and demonstrate how you're able to apply maths to data and deliver tangible, quantifiable business results.
You have strong data visualisation skills
You're comfortable with writing and maintaining code. Our preference is that your language of choice for data-wrangling is Python. However, R is also an option during prototyping phases
You have a track record of deploying predictive models and data products in production with quantifiable impact.
Our team come from a variety of backgrounds and we welcome diversity – if you’re unsure, please apply.
Mar 27, 2019
Full time
We’re looking for talented, experienced Senior Data Scientists to join our growing Data Science team.
GoCardless is building a new global network for recurring payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts.
Annual payment volume at GoCardless exceeds £3.5 billion, and we’re processing up to hundreds of thousands of transactions every day. As we grow, there is an increasing demand for data across all functions. Our ability to understand our users, and make sound and timely business decisions is hugely dependent our ability to extract meaning from this data.
The data team exists to enable GoCardless to make smarter decisions by providing a combination of data oriented products, solutions and technologies. The data team is building data products that massively enhance the value and differentiation of our products at a global scale.
THE ROLE
Data is at the centre of our ability to add value to our customers and to our business. Fraud prevention, marketing optimisation, churn prevention, payment failure optimisation and upsell propensity are all areas of active work. You will work closely with cross-discipline teams, taking responsibility for end to end algorithm development from initial concept through to production readiness.
We are looking for Data Scientists that will help us build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building new data products that leverage our growing volume of raw data.
You will develop and productionise data products and predictive models in collaboration with your team. Working with Product Managers, software developers and subject matter experts, you’ll bring your own expertise to the team helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the teams goals.
You will play a part in specifying the underlying infrastructure we are building to support the day to day work of Data Scientists and to enable models to be easily productionised.
You will create meaningful data visualizations that communicate your findings and relate them back to how your insights create business impact.
WHO WE’RE LOOKING FOR
You’re a self-starter - you can independently drive a team's work forward, finding and exploiting opportunities where data science can impact our business objectives.
You love digging into data and uncovering actionable insights
You’re passionate about using data to help teams become more productive
You have intellectual curiosity
You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
REQUIREMENTS
You’ll have a degree (or PhD) in a numerate discipline (or have substantial relevant experience).
You'll have substantial commercial experience building robust ML models in a production environment.
You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)
You have solid experience of deep-dive analysis of complex data; managing data quality; feature selection; and prototyping, validation, and productionisation of Machine Learning models.
You’ll be able to point to a range of different techniques to solve a problem and demonstrate how you're able to apply maths to data and deliver tangible, quantifiable business results.
You have strong data visualisation skills
You're comfortable with writing and maintaining code. Our preference is that your language of choice for data-wrangling is Python. However, R is also an option during prototyping phases
You have a track record of deploying predictive models and data products in production with quantifiable impact.
Our team come from a variety of backgrounds and we welcome diversity – if you’re unsure, please apply.
GoCardless is building a new global network for recurring bank-to-bank payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts.
Our API powers recurring payments for companies like the Financial Times, Thomas Cook and Nutmeg. It also enables partners including Quickbooks, Xero and Sage to help tens of thousands of small businesses to save countless hours spent chasing customers for payments.
The role
We are looking for a number of Senior BI Analysts. As an experienced BI practitioner you’ll bring your expertise to bear on our data and business, building out our BI capabilities. Your key contribution will be to define, generate, analyse, interpret and communicate the metrics which underpin our business. You’ll help people in all areas of GoCardless make better, faster, more data-driven decisions and develop an expert knowledge of all areas of our operation.
You’ll sit in our Product Development team and will work with technical and non-technical people across the whole company, from Operations to Marketing to Sales.
The main elements of this role will involve:
Building new BI capability : working with stakeholders to agree clear, unambiguous KPI definitions and mapping the relationships between leading and lagging metrics.
Building, maintaining and communicating reports and dashboards to track key performance indicators against objectives
Working with people across the company to enable them to self-serve Business Intelligence through BI tools like Tableau and Looker
Working with engineers to prototype, design and build pipelines which take raw data from production systems and deliver them in a format suitable for querying
Doing deep-dive analysis of data to both test specific hypothesis and generate new business insights
Some example of the types of challenges that you’ll help the business with:
“Should we improve the signup flow or the dashboard next month?”
"Which product should we focus on to generate the most revenue?”
"Which industry is the most risky for us?”
Who we're looking for
You can point to a solid track record as a Business Intelligence practitioner
You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
You’re used to talking about your work in a clear way to others around you
You’re good at quickly getting a grasp of any dataset that you're working with
You can judge when an analysis requires a 5 decimal point precision versus a back-of-the-envelope calculation
You’ll have experienced the technical challenges of setting up self-serve BI and be interested in the technology behind the scenes
You’ll be able to demonstrate how you have automated repetitive tasks
Requirements
You have commercial experience in a fast moving company
You have strong experience in SQL
A degree (or equivalent work experience) in a numerate field (Business / Commercial / Science / Maths etc)
You have very strong data visualisation skills, including usage of self-serve tools like Tableau, QlikView, Looker or similar
You can communicate your analyses clearly to both technical and non-technical audiences
Our team come from a variety of backgrounds and we welcome diversity – if you’re unsure, please apply.
Mar 27, 2019
Full time
GoCardless is building a new global network for recurring bank-to-bank payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts.
Our API powers recurring payments for companies like the Financial Times, Thomas Cook and Nutmeg. It also enables partners including Quickbooks, Xero and Sage to help tens of thousands of small businesses to save countless hours spent chasing customers for payments.
The role
We are looking for a number of Senior BI Analysts. As an experienced BI practitioner you’ll bring your expertise to bear on our data and business, building out our BI capabilities. Your key contribution will be to define, generate, analyse, interpret and communicate the metrics which underpin our business. You’ll help people in all areas of GoCardless make better, faster, more data-driven decisions and develop an expert knowledge of all areas of our operation.
You’ll sit in our Product Development team and will work with technical and non-technical people across the whole company, from Operations to Marketing to Sales.
The main elements of this role will involve:
Building new BI capability : working with stakeholders to agree clear, unambiguous KPI definitions and mapping the relationships between leading and lagging metrics.
Building, maintaining and communicating reports and dashboards to track key performance indicators against objectives
Working with people across the company to enable them to self-serve Business Intelligence through BI tools like Tableau and Looker
Working with engineers to prototype, design and build pipelines which take raw data from production systems and deliver them in a format suitable for querying
Doing deep-dive analysis of data to both test specific hypothesis and generate new business insights
Some example of the types of challenges that you’ll help the business with:
“Should we improve the signup flow or the dashboard next month?”
"Which product should we focus on to generate the most revenue?”
"Which industry is the most risky for us?”
Who we're looking for
You can point to a solid track record as a Business Intelligence practitioner
You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
You’re used to talking about your work in a clear way to others around you
You’re good at quickly getting a grasp of any dataset that you're working with
You can judge when an analysis requires a 5 decimal point precision versus a back-of-the-envelope calculation
You’ll have experienced the technical challenges of setting up self-serve BI and be interested in the technology behind the scenes
You’ll be able to demonstrate how you have automated repetitive tasks
Requirements
You have commercial experience in a fast moving company
You have strong experience in SQL
A degree (or equivalent work experience) in a numerate field (Business / Commercial / Science / Maths etc)
You have very strong data visualisation skills, including usage of self-serve tools like Tableau, QlikView, Looker or similar
You can communicate your analyses clearly to both technical and non-technical audiences
Our team come from a variety of backgrounds and we welcome diversity – if you’re unsure, please apply.
We’re looking for talented, experienced Data Scientists to join our growing Data Science team.
GoCardless is building a new global network for recurring payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts.
Annual payment volume at GoCardless exceeds £3.5 billion, and we’re processing up to hundreds of thousands of transactions every day. As we grow, there is an increasing demand for data across all functions. Our ability to understand our users, and make sound and timely business decisions is hugely dependent our ability to extract meaning from this data.
The data team exists to enable GoCardless to make smarter decisions by providing a combination of data oriented products, solutions and technologies. The data team is building data products that massively enhance the value and differentiation of our products at a global scale.
THE ROLE
Data is at the centre of our ability to add value to our customers and to our business. Fraud prevention, marketing optimisation, churn prevention, payment failure optimisation and upsell propensity are all areas of active work. You will work closely with cross-discipline teams, taking responsibility for end to end algorithm development from initial concept through to production readiness.
We are looking for Data Scientists that will help us build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building new data products that leverage our growing volume of raw data.
You will develop and productionise data products and predictive models in collaboration with your team. Working with Product Managers, software developers and subject matter experts, you’ll bring your own expertise to the team helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the teams goals.
You will play a part in specifying the underlying infrastructure we are building to support the day to day work of Data Scientists and to enable models to be easily productionised.
You will create meaningful data visualizations that communicate your findings and relate them back to how your insights create business impact.
WHO WE’RE LOOKING FOR
You’re a self-starter - you can independently drive a team's work forward, finding and exploiting opportunities where data science can impact our business objectives.
You love digging into data and uncovering actionable insights
You’re passionate about using data to help teams become more productive
You have intellectual curiosity
You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
REQUIREMENTS
You’ll have a degree (or PhD) in a numerate discipline (or have substantial relevant experience).
You'll have commercial experience building robust ML models in a production environment.
You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)
You have solid experience of deep-dive analysis of complex data; managing data quality; feature selection; and prototyping, validation, and productionisation of Machine Learning models.
You’ll be able to point to a range of different techniques to solve a problem and demonstrate how you're able to apply maths to data and deliver tangible, quantifiable business results.
You have strong data visualisation skills
You're comfortable with writing and maintaining code. Our preference is that your language of choice for data-wrangling is Python. However, R is also an option during prototyping phases
You have a track record of deploying predictive models and data products in production with quantifiable impact.
Our team come from a variety of backgrounds and we welcome diversity – if you’re unsure, please apply.
Mar 27, 2019
Full time
We’re looking for talented, experienced Data Scientists to join our growing Data Science team.
GoCardless is building a new global network for recurring payments. We’re cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers’ bank accounts.
Annual payment volume at GoCardless exceeds £3.5 billion, and we’re processing up to hundreds of thousands of transactions every day. As we grow, there is an increasing demand for data across all functions. Our ability to understand our users, and make sound and timely business decisions is hugely dependent our ability to extract meaning from this data.
The data team exists to enable GoCardless to make smarter decisions by providing a combination of data oriented products, solutions and technologies. The data team is building data products that massively enhance the value and differentiation of our products at a global scale.
THE ROLE
Data is at the centre of our ability to add value to our customers and to our business. Fraud prevention, marketing optimisation, churn prevention, payment failure optimisation and upsell propensity are all areas of active work. You will work closely with cross-discipline teams, taking responsibility for end to end algorithm development from initial concept through to production readiness.
We are looking for Data Scientists that will help us build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building new data products that leverage our growing volume of raw data.
You will develop and productionise data products and predictive models in collaboration with your team. Working with Product Managers, software developers and subject matter experts, you’ll bring your own expertise to the team helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the teams goals.
You will play a part in specifying the underlying infrastructure we are building to support the day to day work of Data Scientists and to enable models to be easily productionised.
You will create meaningful data visualizations that communicate your findings and relate them back to how your insights create business impact.
WHO WE’RE LOOKING FOR
You’re a self-starter - you can independently drive a team's work forward, finding and exploiting opportunities where data science can impact our business objectives.
You love digging into data and uncovering actionable insights
You’re passionate about using data to help teams become more productive
You have intellectual curiosity
You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
REQUIREMENTS
You’ll have a degree (or PhD) in a numerate discipline (or have substantial relevant experience).
You'll have commercial experience building robust ML models in a production environment.
You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)
You have solid experience of deep-dive analysis of complex data; managing data quality; feature selection; and prototyping, validation, and productionisation of Machine Learning models.
You’ll be able to point to a range of different techniques to solve a problem and demonstrate how you're able to apply maths to data and deliver tangible, quantifiable business results.
You have strong data visualisation skills
You're comfortable with writing and maintaining code. Our preference is that your language of choice for data-wrangling is Python. However, R is also an option during prototyping phases
You have a track record of deploying predictive models and data products in production with quantifiable impact.
Our team come from a variety of backgrounds and we welcome diversity – if you’re unsure, please apply.
We are looking for people who can help the challenger bank deliver their data science and analytics platform. They offer great progression and the opportunity to grow and develop both technically and within your career.
Desired Skills:
- Someone who has a passion and loves complexing complex data at a large scale
- Experience with migrating data from one area to another
- Has a keen interest in moving data
A key skill for this role, is someone who is open minded with a host of experience with data
Mar 22, 2019
Full time
We are looking for people who can help the challenger bank deliver their data science and analytics platform. They offer great progression and the opportunity to grow and develop both technically and within your career.
Desired Skills:
- Someone who has a passion and loves complexing complex data at a large scale
- Experience with migrating data from one area to another
- Has a keen interest in moving data
A key skill for this role, is someone who is open minded with a host of experience with data
Want to help us change the way the world moves money?
We build high tech services that allow people to send and receive money easily. Our customers are mostly migrants, sending money home to their families and friends in Africa, Asia and Latin America.
Today only 5% of the remittance market is online – with a large proportion of the industry operating through informal untracked networks. Yet online is predicted to grow to 60% in the next 5-6 years and WorldRemit is driving that shift.
By reducing costs and freeing up time we enable people to make the most of the opportunities that their new life abroad provides and help to release the billions of dollars lost in transferring money to the developing world. This money goes directly to those who need it.
Why do we care about money transfers so much?
Most of our customers are first or second generation migrants. They may be living and working far from their home but still manage to send money back to support their loved ones.
Large international wire transfer companies and banks have been taking advantage of people like this by charging preposterous fees and unfair rates.
With the World Bank estimating $575 billion annually flowing into developing countries - transforming the remittance industry could have a greater impact on international development than every single government aid program combined.
WorldRemit is using innovative technology and growing it’s a global network to make transferring money easier, fairer and more affordable.
How are we doing so far?
A family of 650+ employees across offices in London, Denver, Sydney and more
A Fintech Top 20 company
Sending almost 10,000,000 remittances annually (and growing)
Raised $230 million in funding
Funded by VCs behind companies such as Airbnb, Spotify, Netflix and Facebook.
Covering 140+ countries across the globe
What will you be working on?
Based in London, reporting to our Head of Product for the Customer Trust tribe, you’ll lead our data investigations to help us learn faster and smarter.
You will be working in close partnership with product managers among the teams of our Customer Trust tribe, working on diverse and complex areas including: Payments; Fraud; Compliance and; Customer Friction.
These areas are essential to the success of WorldRemit and key data-driven decisions can help us continue our rapid growth. You will be instrumental in helping us better understand our customer’s, leveraging actionable insights to help us build a better service.
As a hand’s on role, you’ll also be experienced in some data engineering activities, helping us get the best out of our data through the automating of data-related tasks to better enable our business to work smart and be data rich.
Main responsibilities:
Help Product Managers understand correlation/causation impacts of our product updates, using this and other data to inform roadmaps
Work closely with product managers to understand problems and stretch their thinking through challenging data
Take our data functions to the next level: working with departments across the business to raise the bar for data science at WorldRemit
Manage multiple projects at the same time: knowing how to balance a workload, with good intuition on when you need to go deeper
Work with stakeholders across the business to identify how we can better use data. Depending on the solution, you’ll help productionise the data-solution to help us automate daily tasks and functions
Present your findings to stakeholders at different levels (including C-suite), so you’ll have an eye for detail and be excellent at breaking down complicated analysis for everyone’s understanding
What we’re looking for:
We’re looking for someone hands-on. You’ll be passionate about using data to solve difficult problems and have previous experience in productionising your insights
Evidence of going deep into problems to draw out root causes and essential insights that help direct the business
A passionate advocate for data – you’ll use data to challenge our assumptions. Having confidence in your work and happy to stand behind your findings
A proven track record of working in a B2C business, preferably in the e-commerce space: you understand customer journeys and are always looking at things from the customer’s perspective
Someone who will lead by example as we continue to establish data at the heart of our strategy
Programming experience: Python or SQL would be preferred, but not essential
Innovative mindset – you will have informed views on the latest techniques and technologies and the most effective ways of trialling and deploying them
Cultural fit – We are known for our low ego, non-hierarchical and collaborative culture
Mar 18, 2019
Full time
Want to help us change the way the world moves money?
We build high tech services that allow people to send and receive money easily. Our customers are mostly migrants, sending money home to their families and friends in Africa, Asia and Latin America.
Today only 5% of the remittance market is online – with a large proportion of the industry operating through informal untracked networks. Yet online is predicted to grow to 60% in the next 5-6 years and WorldRemit is driving that shift.
By reducing costs and freeing up time we enable people to make the most of the opportunities that their new life abroad provides and help to release the billions of dollars lost in transferring money to the developing world. This money goes directly to those who need it.
Why do we care about money transfers so much?
Most of our customers are first or second generation migrants. They may be living and working far from their home but still manage to send money back to support their loved ones.
Large international wire transfer companies and banks have been taking advantage of people like this by charging preposterous fees and unfair rates.
With the World Bank estimating $575 billion annually flowing into developing countries - transforming the remittance industry could have a greater impact on international development than every single government aid program combined.
WorldRemit is using innovative technology and growing it’s a global network to make transferring money easier, fairer and more affordable.
How are we doing so far?
A family of 650+ employees across offices in London, Denver, Sydney and more
A Fintech Top 20 company
Sending almost 10,000,000 remittances annually (and growing)
Raised $230 million in funding
Funded by VCs behind companies such as Airbnb, Spotify, Netflix and Facebook.
Covering 140+ countries across the globe
What will you be working on?
Based in London, reporting to our Head of Product for the Customer Trust tribe, you’ll lead our data investigations to help us learn faster and smarter.
You will be working in close partnership with product managers among the teams of our Customer Trust tribe, working on diverse and complex areas including: Payments; Fraud; Compliance and; Customer Friction.
These areas are essential to the success of WorldRemit and key data-driven decisions can help us continue our rapid growth. You will be instrumental in helping us better understand our customer’s, leveraging actionable insights to help us build a better service.
As a hand’s on role, you’ll also be experienced in some data engineering activities, helping us get the best out of our data through the automating of data-related tasks to better enable our business to work smart and be data rich.
Main responsibilities:
Help Product Managers understand correlation/causation impacts of our product updates, using this and other data to inform roadmaps
Work closely with product managers to understand problems and stretch their thinking through challenging data
Take our data functions to the next level: working with departments across the business to raise the bar for data science at WorldRemit
Manage multiple projects at the same time: knowing how to balance a workload, with good intuition on when you need to go deeper
Work with stakeholders across the business to identify how we can better use data. Depending on the solution, you’ll help productionise the data-solution to help us automate daily tasks and functions
Present your findings to stakeholders at different levels (including C-suite), so you’ll have an eye for detail and be excellent at breaking down complicated analysis for everyone’s understanding
What we’re looking for:
We’re looking for someone hands-on. You’ll be passionate about using data to solve difficult problems and have previous experience in productionising your insights
Evidence of going deep into problems to draw out root causes and essential insights that help direct the business
A passionate advocate for data – you’ll use data to challenge our assumptions. Having confidence in your work and happy to stand behind your findings
A proven track record of working in a B2C business, preferably in the e-commerce space: you understand customer journeys and are always looking at things from the customer’s perspective
Someone who will lead by example as we continue to establish data at the heart of our strategy
Programming experience: Python or SQL would be preferred, but not essential
Innovative mindset – you will have informed views on the latest techniques and technologies and the most effective ways of trialling and deploying them
Cultural fit – We are known for our low ego, non-hierarchical and collaborative culture
Department Engineering
Employment Type Outsourced Employee (Infinit-O)
Minimum Experience Entry-level
About the role:
The Mobile Software Engineer should have a passion for pushing mobile technologies to the limit and will work with our team of talented engineers to design and build the next generation of our mobile applications. The engineer will work closely with our product team to create a cohesive look, feel and overall user experience for our Mobile Apps and SDKs. Be prepared to share your portfolio of mobile applications.
Primary responsibilities:
Participate in the design and development of our mobile (Android and iOS) applications and SDK’s
Collaborate with cross-functional teams to define, design, develop and deploy new features with the highest quality.
Work with internal and external data sources and API’s
Test, debug and maintain the application software throughout the product lifecycle
Work on bug fixing and improving application performance.
Required Qualifications:
Java or Kotlin, Objective-C or Swift
Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
Familiarity with RESTful APIs to connect Mobile applications to back-end services
Experience with offline storage, threading, and performance tuning
Familiarity with cloud message APIs and push notifications
Preferred Qualifications:
BS/MS degree in Computer Science, Engineering or a related subject
1+ years of native Android development (Java); iOS development (Objective C, Bonus: Swift)
Experience with version control solutions (mercurial and git), and databases (MySQL and MongoDB)
Expertise in performance optimizations and writing performance-conscious code.
Mar 08, 2019
Full time
Department Engineering
Employment Type Outsourced Employee (Infinit-O)
Minimum Experience Entry-level
About the role:
The Mobile Software Engineer should have a passion for pushing mobile technologies to the limit and will work with our team of talented engineers to design and build the next generation of our mobile applications. The engineer will work closely with our product team to create a cohesive look, feel and overall user experience for our Mobile Apps and SDKs. Be prepared to share your portfolio of mobile applications.
Primary responsibilities:
Participate in the design and development of our mobile (Android and iOS) applications and SDK’s
Collaborate with cross-functional teams to define, design, develop and deploy new features with the highest quality.
Work with internal and external data sources and API’s
Test, debug and maintain the application software throughout the product lifecycle
Work on bug fixing and improving application performance.
Required Qualifications:
Java or Kotlin, Objective-C or Swift
Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
Familiarity with RESTful APIs to connect Mobile applications to back-end services
Experience with offline storage, threading, and performance tuning
Familiarity with cloud message APIs and push notifications
Preferred Qualifications:
BS/MS degree in Computer Science, Engineering or a related subject
1+ years of native Android development (Java); iOS development (Objective C, Bonus: Swift)
Experience with version control solutions (mercurial and git), and databases (MySQL and MongoDB)
Expertise in performance optimizations and writing performance-conscious code.
At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly.
We’re looking to revolutionise the way consumers manage their finances by putting them in control and promoting their financial wellbeing. We are developing lending products that genuinely feel good and are looking for highly intelligent and creative individuals to help us on our journey.
You should apply if:
You have a solid understanding of lending product economics including an appreciation of all aspects of the customer lifecycle from acquisition, underwriting, account management right through to collections and recoveries
You have a reasonable understanding of the regulations that apply to lending product development
You have a solid understanding of how lending products work to generate profit including experience of building and using tools like Customer Lifetime Value and/or Net Present Value modelling and how income and losses are recognised on the P&L
You have strong analytical skills: SQL is a must, R, Python, VBA and similar are a plus
You can work in an extremely fast-paced startup environment
You are motivated by impact
You are keen to learn
You are a good communicator who’s able to articulate complex information
You are able to build strong, mutually respectful relationships with diverse teams
You are extremely self-motivated and can work autonomously
You’re comfortable with ambiguity and can think from first principles
You’re happy taking an MVP approach and doing what’s good enough for now
You'll spend your time:
Guiding and enabling product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Liaising with engineers to keep making sure we collect the right data to produce relevant product insights
Providing insight into various lending markets using quantitative data available and evaluating profitability dynamics within each of the markets to help us decide which products and features to build
Assessing how the lending portfolio of particular products will perform over time
Ensuring all reporting is in place to allow us to manage our lending portfolio (e.g. credit control reporting, provisioning, monitoring our compliance to Risk Appetite etc.)
Ensuring any changes in KPIs are well understood and explained to stakeholders
Ensuring we operate in a well governed, compliant and customer-centric way
Facilitating data-driven decision making whenever possible
Logistics
The application process consists of a short phone interview, followed by a practical written exercise and then on-site interviews at our office in London.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can – whether to help you meet other commitments or to help you strike a great work-life balance. We’re keen to ensure we’re designing a bank that works for everyone, so we particularly encourage applications from different underrepresented demographics.
Competitive salary plus stock options and other benefits.
Feb 20, 2019
Full time
At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly.
We’re looking to revolutionise the way consumers manage their finances by putting them in control and promoting their financial wellbeing. We are developing lending products that genuinely feel good and are looking for highly intelligent and creative individuals to help us on our journey.
You should apply if:
You have a solid understanding of lending product economics including an appreciation of all aspects of the customer lifecycle from acquisition, underwriting, account management right through to collections and recoveries
You have a reasonable understanding of the regulations that apply to lending product development
You have a solid understanding of how lending products work to generate profit including experience of building and using tools like Customer Lifetime Value and/or Net Present Value modelling and how income and losses are recognised on the P&L
You have strong analytical skills: SQL is a must, R, Python, VBA and similar are a plus
You can work in an extremely fast-paced startup environment
You are motivated by impact
You are keen to learn
You are a good communicator who’s able to articulate complex information
You are able to build strong, mutually respectful relationships with diverse teams
You are extremely self-motivated and can work autonomously
You’re comfortable with ambiguity and can think from first principles
You’re happy taking an MVP approach and doing what’s good enough for now
You'll spend your time:
Guiding and enabling product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Liaising with engineers to keep making sure we collect the right data to produce relevant product insights
Providing insight into various lending markets using quantitative data available and evaluating profitability dynamics within each of the markets to help us decide which products and features to build
Assessing how the lending portfolio of particular products will perform over time
Ensuring all reporting is in place to allow us to manage our lending portfolio (e.g. credit control reporting, provisioning, monitoring our compliance to Risk Appetite etc.)
Ensuring any changes in KPIs are well understood and explained to stakeholders
Ensuring we operate in a well governed, compliant and customer-centric way
Facilitating data-driven decision making whenever possible
Logistics
The application process consists of a short phone interview, followed by a practical written exercise and then on-site interviews at our office in London.
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can – whether to help you meet other commitments or to help you strike a great work-life balance. We’re keen to ensure we’re designing a bank that works for everyone, so we particularly encourage applications from different underrepresented demographics.
Competitive salary plus stock options and other benefits.
CompareAsiaGroup is the largest personal finance platform in Asia, helping more than 30mm people per year across 7 countries. We are a team of 200+ people in 7 countries aligned around a shared vision to empower people to build healthier financial lives. We do this by connecting people to the best content and products for their needs, life stage and risk profile. We are currently focused on the banking and insurance sectors in Hong Kong, Taiwan, Singapore, Indonesia, the Philippines, Malaysia and Thailand. Headquartered in Hong Kong, we have established relationships with more than 100 leading financial institutions across Asia.
MoneyHero.com.hk & Creditgo.com.hk helps consumers compare rates and services of banking and insurance products. It is part of CompareAsiaGroup, Asia’s leading financial empowerment platform for banking and insurance products. In 2017, CompareAsiaGroup and MoneyHero.com.hk closed a $50mm Series B, bringing our total fundraising to more than $90mm from investors including Goldman Sachs, the IFC (World Bank), Ace & Company, Alibaba & Jardine Pacific.
Join one of the fastest growing, fintech businesses – CreditGo – Asia’s first free credit scoring platform that helps users understand their credit situation for free, for life and find out which financial products they are suitable for. This product is already getting attention across Hong Kong and Singapore, is rapidly growing and has exciting ambitions for the future.
Your Task:
The go-to person for insight and analytics for, credit scoring, risk modelling, eligibility models within the group
Able to coach, mentor and build a team of experts in the credit scoring, risk modelling, eligibility modelling area of the business
Able to communicate clearly and convey necessary information and be the subject matter expert across all levels within the business
Passionate about data and analytics and driving scoring initiatives across the group
Key responsibilities:
The go-to person for insight on the performance of core services for our customers, including creating presentations and delivering the results
Monitoring the performance of and maintaining the integrity of eligibility models and scoring criteria
Structuring and completing ad-hoc analysis – e.g. into marketing efficiency of campaigns, or studies into credit risk biases
Leading and or supporting data exchanges with our customers and partners
Taking ownership and responsibility for solutions
Becoming well-versed in the meaning and structure of credit bureau data
Training and mentoring employees
Perform credit and financial analysis on new and existing customers in order to profile customer segments and recommend credit scoring criteria for consideration.
Creating/preparing various reports for management.
Maintaining/updating credit scorecards as needed.
Work closely with the rest of the regional teams to understand and map out credit scoring needs.
Other ad-hoc tasks as assigned from time to time.
Skills and Requirements:
Able to perform complex mathematical calculations.
Able to recognize and attend to important details with accuracy and efficiency.
Able to communicate clearly and convey necessary information.
Able to interact effectively with all levels of management.
Possesses strong organizational and time management skills, driving tasks to completion.
Able to constructively work under stress and pressure when faced with high workloads and deadlines.
Able to maintain and promote social, ethical, and organizational standards in conducting internal and external business activities.
Able to work independently with minimum supervision.
Able to maintain confidentiality of sensitive information
Able to build solid, effective working relationships with others.
What can you expect from us?
Join a fantastic team : Work with the top management of the company, with backgrounds from leading consulting, banking and start-up companies.
Learn : Work with a team with a proven track-record of building successful internet companies.
Have fun : A challenging, fun and international environment
Grow : Great opportunities for further career advancements, either within the regional group or in one of our country teams
Feb 07, 2019
Full time
CompareAsiaGroup is the largest personal finance platform in Asia, helping more than 30mm people per year across 7 countries. We are a team of 200+ people in 7 countries aligned around a shared vision to empower people to build healthier financial lives. We do this by connecting people to the best content and products for their needs, life stage and risk profile. We are currently focused on the banking and insurance sectors in Hong Kong, Taiwan, Singapore, Indonesia, the Philippines, Malaysia and Thailand. Headquartered in Hong Kong, we have established relationships with more than 100 leading financial institutions across Asia.
MoneyHero.com.hk & Creditgo.com.hk helps consumers compare rates and services of banking and insurance products. It is part of CompareAsiaGroup, Asia’s leading financial empowerment platform for banking and insurance products. In 2017, CompareAsiaGroup and MoneyHero.com.hk closed a $50mm Series B, bringing our total fundraising to more than $90mm from investors including Goldman Sachs, the IFC (World Bank), Ace & Company, Alibaba & Jardine Pacific.
Join one of the fastest growing, fintech businesses – CreditGo – Asia’s first free credit scoring platform that helps users understand their credit situation for free, for life and find out which financial products they are suitable for. This product is already getting attention across Hong Kong and Singapore, is rapidly growing and has exciting ambitions for the future.
Your Task:
The go-to person for insight and analytics for, credit scoring, risk modelling, eligibility models within the group
Able to coach, mentor and build a team of experts in the credit scoring, risk modelling, eligibility modelling area of the business
Able to communicate clearly and convey necessary information and be the subject matter expert across all levels within the business
Passionate about data and analytics and driving scoring initiatives across the group
Key responsibilities:
The go-to person for insight on the performance of core services for our customers, including creating presentations and delivering the results
Monitoring the performance of and maintaining the integrity of eligibility models and scoring criteria
Structuring and completing ad-hoc analysis – e.g. into marketing efficiency of campaigns, or studies into credit risk biases
Leading and or supporting data exchanges with our customers and partners
Taking ownership and responsibility for solutions
Becoming well-versed in the meaning and structure of credit bureau data
Training and mentoring employees
Perform credit and financial analysis on new and existing customers in order to profile customer segments and recommend credit scoring criteria for consideration.
Creating/preparing various reports for management.
Maintaining/updating credit scorecards as needed.
Work closely with the rest of the regional teams to understand and map out credit scoring needs.
Other ad-hoc tasks as assigned from time to time.
Skills and Requirements:
Able to perform complex mathematical calculations.
Able to recognize and attend to important details with accuracy and efficiency.
Able to communicate clearly and convey necessary information.
Able to interact effectively with all levels of management.
Possesses strong organizational and time management skills, driving tasks to completion.
Able to constructively work under stress and pressure when faced with high workloads and deadlines.
Able to maintain and promote social, ethical, and organizational standards in conducting internal and external business activities.
Able to work independently with minimum supervision.
Able to maintain confidentiality of sensitive information
Able to build solid, effective working relationships with others.
What can you expect from us?
Join a fantastic team : Work with the top management of the company, with backgrounds from leading consulting, banking and start-up companies.
Learn : Work with a team with a proven track-record of building successful internet companies.
Have fun : A challenging, fun and international environment
Grow : Great opportunities for further career advancements, either within the regional group or in one of our country teams
About the Position:
LenddoEFL is seeking an experienced Data Scientist to execute and improve our modeling efforts with an innovative, challenging alternative to traditional credit scoring. As a Data Scientist on LenddoEFL’s modeling team, you will be responsible for building, monitoring and deploying different types of models. The team works on non-traditional credit scoring techniques and is continuously looking for improvement on its standards.
The role:
Work with research scientists/engineers to develop, prototype and productize new machine learning and graph algorithms operating on wide and big data.
Design scalable big data pipeline/workflows for behavioral and social algorithms.
Build strong communication channels with different stakeholders
Specific responsibilities
Review and analyze client and external data sets.
Deploy and integrate LenddoEFL's solutions in clients’ environments.
Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.
Design, build and implement Data Manipulation environments for internal and external purposes
Rapid identification of R&D opportunities and model improvement.
Research new non-traditional sources of data to include in the LenddoEFL platform.
Preferred Qualifications:
Advanced degrees in Applied Math, Statistics, Engineering or equivalent
5+ years of job experience with statistical modeling
Strong programming skills.
Experience with statistical techniques and tools in python or R.
Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
Plays well with others; able to listen to, appreciate, and effectively critique peers’ opinions.
Preferred Qualifications:
Proven experience in Data manipulation. Database skills in any major database language.
Deep fundamental understanding in the technical aspects, monitoring and evaluation techniques, and the challenges associated with traditional credit scoring.
Demonstrated interest in machine learning and other non-traditional techniques for model construction, and able to leverage and work with skills of highly experienced data scientists.
Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning, and NLP.
Experience (or keen desire for experience) in a small, fast-moving, high-growth company.
Any level of experience with Spanish.
Feb 07, 2019
Full time
About the Position:
LenddoEFL is seeking an experienced Data Scientist to execute and improve our modeling efforts with an innovative, challenging alternative to traditional credit scoring. As a Data Scientist on LenddoEFL’s modeling team, you will be responsible for building, monitoring and deploying different types of models. The team works on non-traditional credit scoring techniques and is continuously looking for improvement on its standards.
The role:
Work with research scientists/engineers to develop, prototype and productize new machine learning and graph algorithms operating on wide and big data.
Design scalable big data pipeline/workflows for behavioral and social algorithms.
Build strong communication channels with different stakeholders
Specific responsibilities
Review and analyze client and external data sets.
Deploy and integrate LenddoEFL's solutions in clients’ environments.
Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.
Design, build and implement Data Manipulation environments for internal and external purposes
Rapid identification of R&D opportunities and model improvement.
Research new non-traditional sources of data to include in the LenddoEFL platform.
Preferred Qualifications:
Advanced degrees in Applied Math, Statistics, Engineering or equivalent
5+ years of job experience with statistical modeling
Strong programming skills.
Experience with statistical techniques and tools in python or R.
Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
Plays well with others; able to listen to, appreciate, and effectively critique peers’ opinions.
Preferred Qualifications:
Proven experience in Data manipulation. Database skills in any major database language.
Deep fundamental understanding in the technical aspects, monitoring and evaluation techniques, and the challenges associated with traditional credit scoring.
Demonstrated interest in machine learning and other non-traditional techniques for model construction, and able to leverage and work with skills of highly experienced data scientists.
Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning, and NLP.
Experience (or keen desire for experience) in a small, fast-moving, high-growth company.
Any level of experience with Spanish.
About the Position:
LenddoEFL is seeking an experienced Data Scientist to execute and improve our modeling efforts with an innovative, challenging alternative to traditional credit scoring. As a Data Scientist on LenddoEFL’s modeling team, you will be responsible for building, monitoring and deploying different types of models. The team works on non-traditional credit scoring techniques and is continuously looking for improvement on its standards.
The role:
Work with research scientists/engineers to develop, prototype and productize new machine learning and graph algorithms operating on wide and big data.
Design scalable big data pipeline/workflows for behavioral and social algorithms.
Build strong communication channels with different stakeholders
Specific responsibilities
Review and analyze client and external data sets.
Deploy and integrate LenddoEFL's solutions in clients’ environments.
Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.
Design, build and implement Data Manipulation environments for internal and external purposes
Rapid identification of R&D opportunities and model improvement.
Research new non-traditional sources of data to include in the LenddoEFL platform.
Preferred Qualifications:
Advanced degrees in Applied Math, Statistics, Engineering or equivalent
5+ years of job experience with statistical modeling
Strong programming skills.
Experience with statistical techniques and tools in python or R.
Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
Plays well with others; able to listen to, appreciate, and effectively critique peers’ opinions.
Preferred Qualifications:
Proven experience in Data manipulation. Database skills in any major database language.
Deep fundamental understanding in the technical aspects, monitoring and evaluation techniques, and the challenges associated with traditional credit scoring.
Demonstrated interest in machine learning and other non-traditional techniques for model construction, and able to leverage and work with skills of highly experienced data scientists.
Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning, and NLP.
Experience (or keen desire for experience) in a small, fast-moving, high-growth company.
Any level of experience with Spanish.
Feb 07, 2019
Full time
About the Position:
LenddoEFL is seeking an experienced Data Scientist to execute and improve our modeling efforts with an innovative, challenging alternative to traditional credit scoring. As a Data Scientist on LenddoEFL’s modeling team, you will be responsible for building, monitoring and deploying different types of models. The team works on non-traditional credit scoring techniques and is continuously looking for improvement on its standards.
The role:
Work with research scientists/engineers to develop, prototype and productize new machine learning and graph algorithms operating on wide and big data.
Design scalable big data pipeline/workflows for behavioral and social algorithms.
Build strong communication channels with different stakeholders
Specific responsibilities
Review and analyze client and external data sets.
Deploy and integrate LenddoEFL's solutions in clients’ environments.
Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.
Design, build and implement Data Manipulation environments for internal and external purposes
Rapid identification of R&D opportunities and model improvement.
Research new non-traditional sources of data to include in the LenddoEFL platform.
Preferred Qualifications:
Advanced degrees in Applied Math, Statistics, Engineering or equivalent
5+ years of job experience with statistical modeling
Strong programming skills.
Experience with statistical techniques and tools in python or R.
Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
Plays well with others; able to listen to, appreciate, and effectively critique peers’ opinions.
Preferred Qualifications:
Proven experience in Data manipulation. Database skills in any major database language.
Deep fundamental understanding in the technical aspects, monitoring and evaluation techniques, and the challenges associated with traditional credit scoring.
Demonstrated interest in machine learning and other non-traditional techniques for model construction, and able to leverage and work with skills of highly experienced data scientists.
Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning, and NLP.
Experience (or keen desire for experience) in a small, fast-moving, high-growth company.
Any level of experience with Spanish.
About the Position:
LenddoEFL is seeking an experienced Data Scientist to execute and improve our modeling efforts with an innovative, challenging alternative to traditional credit scoring. As a Data Scientist on LenddoEFL’s modeling team, you will be responsible for building, monitoring and deploying different types of models. The team works on non-traditional credit scoring techniques and is continuously looking for improvement on its standards.
The role:
Work with research scientists/engineers to develop, prototype and productize new machine learning and graph algorithms operating on wide and big data.
Design scalable big data pipeline/workflows for behavioral and social algorithms.
Build strong communication channels with different stakeholders
Specific responsibilities
Review and analyze client and external data sets.
Deploy and integrate LenddoEFL's solutions in clients’ environments.
Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.
Design, build and implement Data Manipulation environments for internal and external purposes
Rapid identification of R&D opportunities and model improvement.
Research new non-traditional sources of data to include in the LenddoEFL platform.
Preferred Qualifications:
Advanced degrees in Applied Math, Statistics, Engineering or equivalent
5+ years of job experience with statistical modeling
Strong programming skills.
Experience with statistical techniques and tools in python or R.
Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
Plays well with others; able to listen to, appreciate, and effectively critique peers’ opinions.
Preferred Qualifications:
Proven experience in Data manipulation. Database skills in any major database language.
Deep fundamental understanding in the technical aspects, monitoring and evaluation techniques, and the challenges associated with traditional credit scoring.
Demonstrated interest in machine learning and other non-traditional techniques for model construction, and able to leverage and work with skills of highly experienced data scientists.
Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning, andNLP.
Experience (or keen desire for experience) in a small, fast-moving, high-growth company.
Any level of experience with Spanish.
Feb 07, 2019
Full time
About the Position:
LenddoEFL is seeking an experienced Data Scientist to execute and improve our modeling efforts with an innovative, challenging alternative to traditional credit scoring. As a Data Scientist on LenddoEFL’s modeling team, you will be responsible for building, monitoring and deploying different types of models. The team works on non-traditional credit scoring techniques and is continuously looking for improvement on its standards.
The role:
Work with research scientists/engineers to develop, prototype and productize new machine learning and graph algorithms operating on wide and big data.
Design scalable big data pipeline/workflows for behavioral and social algorithms.
Build strong communication channels with different stakeholders
Specific responsibilities
Review and analyze client and external data sets.
Deploy and integrate LenddoEFL's solutions in clients’ environments.
Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.
Design, build and implement Data Manipulation environments for internal and external purposes
Rapid identification of R&D opportunities and model improvement.
Research new non-traditional sources of data to include in the LenddoEFL platform.
Preferred Qualifications:
Advanced degrees in Applied Math, Statistics, Engineering or equivalent
5+ years of job experience with statistical modeling
Strong programming skills.
Experience with statistical techniques and tools in python or R.
Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
Plays well with others; able to listen to, appreciate, and effectively critique peers’ opinions.
Preferred Qualifications:
Proven experience in Data manipulation. Database skills in any major database language.
Deep fundamental understanding in the technical aspects, monitoring and evaluation techniques, and the challenges associated with traditional credit scoring.
Demonstrated interest in machine learning and other non-traditional techniques for model construction, and able to leverage and work with skills of highly experienced data scientists.
Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning, andNLP.
Experience (or keen desire for experience) in a small, fast-moving, high-growth company.
Any level of experience with Spanish.
Commerce Bank has an immediate opening for a Business Intelligence Data Scientist. The candidate will partner with lines of business to apply programming, analytic & statistical modeling skills to help drive business strategies, tactics and results. Primary Duties Include: • Develops complex programming (SAS/SQL) code to extract data to help define, launch and evaluate business initiatives • Analyzes data to identify opportunities, draw conclusions, make actionable recommendations and solve business issues • Develop predictive models based on statistical and mathematical theory to anticipate customer behavior patterns • Partner with lines of business to identify & implement opportunities to leverage data analytics in meeting their strategic & tactical objectives Work Hours: 8AM ~ 5PM Monday ~ Friday Requirements Include: • Combines advanced business intelligence technical skills with business analysis skills to drive business results • 4+ years of business intelligence experience, including data analysis & data mining • Creates predictive statistical models as required • Advanced user of SAS statistical software or equivalent analytic tools • Experience with digital analytics highly desired • Master’s degree in Data Analytics, Mathematics, Statistics or related quantitative field or work experience • Strong knowledge of business. Excels at thinking strategically, working proactively with business partners, and understanding the drivers of business profitability. Experience in the financial services industry a plus
Feb 04, 2019
Full time
Commerce Bank has an immediate opening for a Business Intelligence Data Scientist. The candidate will partner with lines of business to apply programming, analytic & statistical modeling skills to help drive business strategies, tactics and results. Primary Duties Include: • Develops complex programming (SAS/SQL) code to extract data to help define, launch and evaluate business initiatives • Analyzes data to identify opportunities, draw conclusions, make actionable recommendations and solve business issues • Develop predictive models based on statistical and mathematical theory to anticipate customer behavior patterns • Partner with lines of business to identify & implement opportunities to leverage data analytics in meeting their strategic & tactical objectives Work Hours: 8AM ~ 5PM Monday ~ Friday Requirements Include: • Combines advanced business intelligence technical skills with business analysis skills to drive business results • 4+ years of business intelligence experience, including data analysis & data mining • Creates predictive statistical models as required • Advanced user of SAS statistical software or equivalent analytic tools • Experience with digital analytics highly desired • Master’s degree in Data Analytics, Mathematics, Statistics or related quantitative field or work experience • Strong knowledge of business. Excels at thinking strategically, working proactively with business partners, and understanding the drivers of business profitability. Experience in the financial services industry a plus
