39 Research jobs

About WorldRemit: We are looking for a User Researcher , based in London, to help us take on our upcoming challenges and improve our product experiences through informed decision making and insights gathering. WorldRemit helps people send money around the world to over 140 destinations more quickly, easily and securely than traditional processes that are often more expensive, complicated and do not recognise that the way people use money is changing.  We are proud of the diversity of our users which is one of our core strengths at WorldRemit, many of whom are first or second generation migrants working hard to support their families. We understand the impact that we help create, and are responsible for, when people trust us to send their money directly to family, friends and loved ones around the world. Our efforts so far have resulted in almost 90,000 five star reviews from delighted people using our products and services - you will be a big part of continuing to cultivate the  stories that we can tell . About the role: We are looking for a Lead User Researcher to help us build empathy and understanding for migrants around the world. You will be crucial in helping inform and shape our direction as a company, by bringing in insights from our customers into our product teams as well as more broadly across the organisation. We have an exciting and busy year of research ahead, that has be planned from a high level perspective and budgeted! However we are seeking someone with a research vision and hands on experience to take ownership of our approach and guide us in defining how we succeed in gaining those insights and answers.  There will be a high degree of autonomy and accountability in this role, actively supported by our Head of Product Design and Chief Product Officer along the way. What you will be doing Working with our teams to lead our design research practice at WorldRemit by: Defining, planning and conducting usability testing and broader user & discovery research. Coaching others on how to best approach testing and research, bringing them into the process making us all better at understanding the people that use our products and the real problems they face. Influencing our product development and design process through graining insights, data and ideas to help us make better products and features. Synthesise research and insights into compelling, creative and actionable formats - leaning on your strength as a storyteller to engage everyone in the organisation. Partner outside of product to represent the design team in promoting the efforts and impact of design research through inclusive user research. Support designers across product teams and departments by sharing work and helping to improve our broad design initiatives through earned user insights. Provide guidance, input and support in our review and feedback sessions. You also regularly seek out feedback from your fellow designers and beyond your product team. Help in recruiting and interviewing designers and researchers, and actively improve our inclusive design hiring process   Does this sound like you?   You have hands on experience scoping, prioritising and running design research initiatives within product focused companies, preferably with in-house experience along the way. We believe that success in this role generally comes with 7 years experience, or more, as a user researcher to draw upon. You have broad experience applying a range of research methodologies, knowing which to try in a given circumstance. You’re experienced with collecting, analysing and presenting data, both qualitative and quantitative, that is accessible to a wide range of people in any given company. You’ve demonstrated the importance that research plays to inform and improve the customer experience multiple times, gaining respect and praise for your efforts. You’re fascinated by human behaviours, psychology and emotions. You’re a great storyteller, able to speak comfortably to designers, engineers, business people and other stakeholders. You’re someone who draws motivation, purpose and inspiration from the mission of a company and use that in helping solve the problems you work on. You have proven ability to build relationships between disciplines and teams. You have experience building a happy research team, or have the desire to learn what it takes to do so. You’re friendly, humble and focused on the team, and love working closely with product managers, data scientists, engineers and being supported by experienced designers to bring your unique perspective into the design process.  We strive to offer a competitive benefits package to employees including a personal learning and development, choice of equipment to support the way you work best, as well as a well stocked kitchen every morning for breakfast and a fun weekly townhall meeting that features different food each time. We’re a global company with offices worldwide (London, UK / Denver, US / Krakow, PL / Cebu, PH and more), so you will have a network of locales to connect with as you grow with the company. Located in Victoria, our London offices are centrally based with a diverse background of nationalities, enjoying easy access from St James’s Park, Victoria and Westminster stations all within easy walking distance. Something really important We are keen to ensure we are designing experiences that works for everyone, so we particularly encourage applications from different underrepresented demographics.  If the role sounds like a good fit and you’re interested in helping making a genuine impact on people’s lives, don’t hesitate to apply! We appreciate that applying takes a lot of effort, and we really value the time you invest. 

We are seeking a Quantitative Researcher to join the Research team at Wealthfront. The primary responsibility of the role is to investigate and develop proprietary, automated investment strategies addressing our clients' various investment problems. Your focus will span topics related to asset allocation, portfolio construction (taxable and non-taxable), investment vehicle selection, tax efficiency, optimization, trade execution, behavioral finance, as well as, risk modeling and risk tolerance assessment. Successful candidates will combine an ability to derive and apply quantitative models to the empirical analysis of financial and client data. Code and models are the way we express insights and analysis, thus you need to be comfortable working with large datasets and writing significant amounts of R code. Responsibilities Develop portfolio optimization models and investment algorithms Build reproducible backtests for proposed models / algorithms Conduct empirical statistical analysis / modeling on relevant data and develop actionable insights Contribute to the development of research infrastructure for modelling, optimization, backtesting, analytics, and data management, to ensure an efficient and robust research process Investigate, identify, and acquire internal / external datasets Collaborate with other teams (engineering, product, design, marketing, and compliance) to commercialize new products and ongoing enhancements to existing products Requirements PhD degree in Operations Research. Candidates from related disciplines with a strong focus on quantitative analysis (e.g. finance / economics, statistics) are also encouraged to apply Experience analyzing complex data and building statistical models Strong background in econometrics / statistics; experience with optimization desired Programming competency in R and / or Matlab and / or Python Programming competency in SQL preferred Strong presentation skills and ability to communicate technical content to an audience with varied backgrounds Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About  Wealthfront   Wealthfront’s vision is to optimize and automate our clients' finances exclusively through software. We've engineered a platform that delivers highly personalized  advice and services  including investment management, financial planning, and personal banking.   Wealthfront employees enable our clients to achieve their financial goals by developing sophisticated algorithms and investment strategies, intuitive user experiences and scalable infrastructure to continuously deploy mission-critical code. Join us as we help clients create their roadmap to financial freedom and scale from $11 billion in assets under management to trillions (yes, trillions).

We are seeking a Quantitative Researcher to join the Research team at Wealthfront. The primary responsibility of the role is to investigate and develop proprietary, automated investment strategies addressing our clients' various investment problems. Your focus will span topics related to asset allocation, portfolio construction (taxable and non-taxable), investment vehicle selection, tax efficiency, optimization, trade execution, behavioral finance, as well as, risk modeling and risk tolerance assessment. Successful candidates will combine an ability to derive and apply quantitative models to the empirical analysis of financial and client data. Code and models are the way we express insights and analysis, thus you need to be comfortable working with large datasets and writing significant amounts of R code. Responsibilities Develop portfolio optimization models and investment algorithms Build reproducible backtests for proposed models / algorithms Conduct empirical statistical analysis / modeling on relevant data and develop actionable insights Contribute to the development of research infrastructure for modelling, optimization, backtesting, analytics, and data management, to ensure an efficient and robust research process Investigate, identify, and acquire internal / external datasets Collaborate with other teams (engineering, product, design, marketing, and compliance) to commercialize new products and ongoing enhancements to existing products Requirements PhD degree in finance / economics. Candidates from related disciplines with a strong focus on quantitative analysis (e.g. operations research, statistics) are also encouraged to apply Experience analyzing complex data and building statistical models Strong background in econometrics / statistics; experience with optimization desired Programming competency in R and / or Matlab and / or Python Programming competency in SQL preferred Strong presentation skills and ability to communicate technical content to an audience with varied backgrounds Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About  Wealthfront   Wealthfront’s vision is to optimize and automate our clients' finances exclusively through software. We've engineered a platform that delivers highly personalized  advice and services  including investment management, financial planning, and personal banking.   Wealthfront employees enable our clients to achieve their financial goals by developing sophisticated algorithms and investment strategies, intuitive user experiences and scalable infrastructure to continuously deploy mission-critical code. Join us as we help clients create their roadmap to financial freedom and scale from $11 billion in assets under management to trillions (yes, trillions).

We are seeking a quantitative analyst / data scientist to join the Quantitative Research team at Wealthfront. The primary responsibility of the role is to investigate and develop proprietary, automated investment strategies addressing our clients' various investment problems. Your focus will span topics related to asset allocation, portfolio construction, optimization, tax efficiency, trade execution, behavioral finance, and will afford you the opportunity to work with a proprietary dataset spanning the investments of hundreds of thousands of clients.  Successful candidates will combine an ability to derive and apply quantitative models to the empirical analysis of financial and client data. Code and models are the way we express insights and analysis, thus you need to be comfortable working with large datasets and writing significant amounts of R code. Responsibilities Build reproducible backtests for proposed models / algorithms Contribute to the deployment and implementation of differentiated investment services Contribute to the development of infrastructure for modelling, optimization, backtesting, analytics, and data management Investigate, identify, and acquire internal / external datasets Collaborate with other teams (engineering, product, design, marketing, and compliance) to commercialize new products and ongoing enhancements to existing products Requirements BS or Masters Degree in mathematics, statistics, economics or computer science (or a related quantitative discipline). If you are thinking about doing a PhD someday, chances are you’ll love our team. Experience analyzing complex data and building statistical models Programming proficiency in R or Python (you have written massive amounts of code, employing revision control, and testing) Programming competency in SQL preferred Bonus Points Programming competency in Java, Scala Experience with AWS cloud computing technologies Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.     About  Wealthfront Wealthfront’s vision is to optimize and automate our clients' finances exclusively through software. We've engineered a platform that delivers highly personalized  advice and services  including investment management, financial planning, and personal banking.   Wealthfront employees enable our clients to achieve their financial goals by developing sophisticated algorithms and investment strategies, intuitive user experiences and scalable infrastructure to continuously deploy mission-critical code. Join us as we help clients create their roadmap to financial freedom and scale from $11 billion in assets under management to trillions (yes, trillions).

We’re looking for the first User Experience Researcher to join our design team. In this senior role, you will partner closely with designers, product managers, engineers, and the rest of the team to build amazing mobile and web experiences. You'll have the opportunity to take on research questions big and small. Playing a meaningful role in our product development process, you'll drive answers to critical questions, build insight at scale for our clients and help drive new concepts. It’s a great opportunity to work on an important problem and mission, and join a fun, collaborative team.   You will be successful in this role if you have experience and mastery over their methods, but aren't afraid to get scrappy, creative and invent new ways of collecting insights. Responsibilities Collaborate with Design and Product teams to identify research opportunities. Design and execute a wide variety of research projects ranging from early ideation through to design validation. Generate insights that influence product positioning, feature design and brand messaging. Inspire teams with creative and compelling presentation of your results and findings. Define design methodologies and lead the user experience research discipline at the company level. This position reports into the Director of Design. Requirements 6+ years experience in applied product/design research. Command over a wide range of qualitative methods and comfort with quantitative concepts. Excellent communication and collaboration skills. Self motivated, can work independently. BA/BS degree in Psychology, HCI, Social Science, etc. Knowledge of behavioral economics a plus. Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   About  Wealthfront Wealthfront’s vision is to optimize and automate our clients' finances exclusively through software. We've engineered a platform that delivers highly personalized  advice and services  including investment management, financial planning, and personal banking.   Wealthfront employees enable our clients to achieve their financial goals by developing sophisticated algorithms and investment strategies, intuitive user experiences and scalable infrastructure to continuously deploy mission-critical code. Join us as we help clients create their roadmap to financial freedom and scale from $11 billion in assets under management to trillions (yes, trillions).

Description   ABOUT THE ROLE Our fast-growing product design team is seeking an exceptional Senior UX Researcher to help us supercharge our business and your career at SoFi’s Presidio headquarters in San Francisco, CA. As a member of our small, but growing User Research team, you’ll have a hand in shaping the role of User Research at SoFi and championing a customer-centric approach to our products, business and culture. This position is ideal for someone who enjoys forward-looking, intrapreneurial roles, but who is also seeking the stability of a seasoned management team. Partnering closely with designers, product managers and product marketers, our UX Research team conducts exploratory, formative and evaluative research studies that enable stakeholders to make more informed, confident decisions. In this role, you’ll be expected to plan, lead, and socialize high profile research projects. You can take the lead but are also collaborative. You are self-motivated, detail-oriented, and able to work efficiently and effectively with cross-functional teams. You can perform and improvise under tight timelines and changing environments. You are an advocate for our customers and are excited to work with teams to connect them to our customer’s needs and take action on insights. At SoFi, you’ll become part of a new kind of finance company based around speed, transparency, and alignment with our members’ interests. Our goal is to be at the center of our members’ financial lives. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. We expanded into other types of loans, and then into insurance and wealth management with similarly inventive products and soon to be launched SoFi money a modern take on a checking or savings account. As the company has grown, we’ve been able to help more people with these tools. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. Responsibilities: Act in a consultative and advisory role to various levels and functions within the design and product teams to identify research topics and plan research initiatives for both generative and evaluative purposes Manage projects end to end: develop guides and screeners, moderate, analyze, synthesize and deliver results Conduct research using a wide variety of qualitative methods and a subset of quantitative methods, such as surveys Communicate results and illustrate suggestions in compelling and creative ways; tailor research findings to suit the audience, varying levels of detail and complexity as appropriate/required Package insights into tools and assets for designers, product managers and product marketing managers to leverage (personas, design principles, scenarios, etc.) Support project team members in transforming research findings and insights into innovative solutions, in order to inform both user and business problems and deliver measurable outcomes Create artifacts, educational tools, experiences and processes that help build and evangelize UX Research within the larger organization Qualification: Our ideal candidate will have experience in consumer facing tech and an orientation towards cross-functional collaboration. You are an an excellent communicator, excited to work closely with stakeholders, comfortable in a flat, fast moving collaborative organization and highly motivated by SoFi’s mission to help people accomplish their goals, reach financial wellness, and navigate their financial journey! 5+ years experience in applied product research Ability to manage and prioritize multiple projects Command of a broad set of qualitative and user-centered design methods Basic understanding of quantitative, behavioral analysis and statistical concepts Excellent communication skills, with strong ability to synthesize and communicate ideas visually, verbally, and in writing Experience creating research deliverables (frameworks, videos, toplines, etc.) Bonus: domain expertise in personal finances A degree in Design, HCI, Psychology, Cognitive Science, Anthropology, or a related field considered an advantage. Benefits: Lunch, a fully stocked kitchen, and subsidized gym membership. Competitive salary packages and bonuses. A flexible vacation policy allows you to truly relax and reboot.  Comprehensive health, vision, dental, and life insurance as well as disability benefits. 100% of health, vision, and dental premiums paid by SoFI for employees and their dependents.  401(k) and education on retirement planning. 
 Tuition reimbursement on approved programs, up to $5,250 a year. Monthly contribution to help you pay off your student loans.

Kickstarter is looking for an experienced Analytics & Insights Manager to build and manage our growing team of analysts and data scientists, leading our analysis and product insights efforts. On a daily basis, you'll work with your team to monitor platform usage, investigate trends, and collaborate with colleagues across Kickstarter to ask the right questions about our products. Throughout this, you will ensure Kickstarter’s high standards of excellence through rigorous skepticism, creative problem solving, and experimentation. Long term, you’ll help Kickstarter utilize data for product development, research and analysis, and hypothesis testing. The team (and company) is small and your work will be relatively hands-on: ideally you have experience doing primary research or shipping production code. About the Team Kickstarter's Insights team is a collaborative group of people who are passionate about using data and research to help bring creative projects to life. Our team’s mission is to provide the organization with robust information, analyses and insight to inform and assess Kickstarter’s strategic objectives. Our team’s objectives include: Democratizing data access across the organization and providing tools and training to support data-informed decisions;  Acquiring and synthesizing all relevant information about our ecosystem, our competitors, the creative landscape, and our users, to provide high quality strategic advice to decision makers at all levels of the organization;  Raising the quality of data in our system, including improving our data infrastructure and modeling, and utilizing a variety of research methodologies to understand our users and their experiences. To achieve this we will seek to use the most up to date data, analytical techniques, and appropriate technologies. We collaborate with teams across the organization to provide colleagues with reliable and actionable information through research, reporting, dashboards, and analytics. We value peer feedback, continuous learning, and blameless post-mortems. We prefer proven technology and have built most of our data infrastructure on AWS, but we also care about finding the right tools for the job, so we invest in cutting-edge technology when it's a good fit. About the Role Your job will be to build and lead an internal insights practice, focused on analyzing data and helping teams across the organization build an in depth knowledge of trends and performance in the Kickstarter ecosystem. This will include using data to understand product usage, cultural & community insights, and market research across Kickstarter, Drip & The Creative Independent. Additionally, you’ll develop hypotheses and carry out tests to prove (or disprove!) them in conjunction with product managers, designers, and engineers. This primarily means constructing, deploying, and analyzing A/B tests, but could also include surveys, competitive intelligence, and other forms of research.  Long term, you’ll cultivate a nuanced understanding of the Kickstarter product and lead open-ended research to discover the most impactful features for our product teams to build. Your insights and wisdom will be essential to how Kickstarter evolves, and your expertise will guide us as we learn new things every step of the way. Your background should include experience using your data analysis skills day to day as well as a healthy understanding of the product development lifecycle. Ideally you’re adept at using statistics to separate signal from noise, but you're also completely at ease communicating the story behind the data.  About You  You have a deep experience with product analytics, data, research and a strong ability to turn rough question sand raw numbers into actionable insights.  You have led a team of analysts, researchers, data scientists or similar.  You have a proven track record of data-driven product research and development.  You have demonstrable experience with SQL, statistics, and BI tools (we use Looker).  You have excellent scientific reasoning and problem-solving skills.  You have experience running large A/B tests and other web-scale experiments.  You are familiar with market research, user testing, and competitive intelligence best-practices.  You have a deep interest and passion for Kickstarter’s mission to help people bring their creative projects to life, and the product opportunities and challenges that come along with it. Kickstarter is an equal opportunity employer. As part of our commitment to fight for equality, we work to ensure a fair and consistent interview process. We celebrate diversity and we are committed to an inclusive work environment.

Kabbage is blazing a trail in big data & fintech and we are looking for a  UX Research Lead  to join us as we continue our amazing growth trajectory.   Kabbage is more than a lender for small businesses; our data and technology platform is now being used as a fully branded product by other lenders, and our products are expanding.  We've received numerous awards & recognition, including Glassdoor's 2017 Best Places to Work, "36 th  fastest growing company in the US" on the INC 500 List, Fast Company's "Top 10 most innovative companies in finance" and Forbes' "America's Top 100 Most Promising Companies" among others. Your mission: As a  UX Research Lead  you will have the opportunity to support our goal in developing innovative, user-friendly products. As a key voice of the customer, your insights and direction will be vital to the company during collaborative ideation sessions, design sprints, and other activities. You will be the first researcher on a small passionate team and will take complete ownership of the products you work on. What you'll be doing:  Define user testing strategies holistically and on a project by project basis. Responsible for performing research, setting up and leading user tests to investigate whether a product’s pathways make sense to users, and distilling the results into actionable feedback. Develop a deep understanding of the customer by examining their behaviors, motivations, activities, obligations, needs, and their environment.  Collaborate with UX designers along with cross-functional teams such as development, QA, data analytics, customer service, sales, marketing, and other disciplines. Help the UX team understand what would make a user’s experiences feel more intuitive, fun—and even magical. Research and understand the holistic customer journey and help identify opportunities for improvement to drive us towards the best customer experience. Be proficient in reviewing and analyzing data from a variety of sources to develop comprehensive and coordinated recommendations. Perform UX research methods such as, but not limited to, task analysis, card sorting, focus groups, contextual interviews, cognitive walkthroughs, competitive analysis, etc. Run user research sessions in lab or in the field, convey findings and formulate recommendations and direction. Establish rapport with stakeholders, understand their requests and present research findings that address their questions. Produce research deliverables (reports, presentation decks, etc.) What we're looking for in you: Proactivity : Resourceful, has grit, and a positive "can do" attitude; acts without being told what to do Flexibility/adaptability : Cool with rapidly changing priorities and projects. Follow-through : Follows through on items without being managed. Calm under pressure : Ability to navigate and lead the team through high-priority last minute requests and other high stress situations; Works well under high-pressure timelines. Intelligence : Likes learning and learns quickly Communication : Ability to speak clearly and with intent What you should have: Extensive relevant work experience with proven track record of integrating user research into product development cycle and working with cross-functional teams. Comprehensive experience in applied research setting. BA/BS degree in Human Computer Interaction, Experimental Psychology, Computer Science or equivalent experience. Excellent communication skills, diligent, detail-oriented and can work independently. Strategic thinker, intellectually curious and constantly seeking new innovations in user and product research. Excellent written and verbal communication skills, including strong presentation skills to present insights and recommendations persuasively, in a compelling, easy to understand manner. Basic prototyping skills in Axure, Invision or equivalent. The Kabbage Advantage At Kabbage, we think our people are awesome, so we created the Kabbage Advantage—our way of being awesome right back. We offer competitive benefits including unlimited PTO, equity in the company, and exceptional health coverage options. Our team members enjoy a dynamic work environment with daily catered lunches, fully stocked kitchens, and onsite fitness classes. While our perks and benefits are generous, the people are  actually  what make Kabbage great. Kabbagers are curious, creative, and resilient. We are proactive, productive, and problem solvers. And we don’t do it alone. At Kabbage, you will find humble individuals who work hard to communicate effectively and work collaboratively.

Feedzai is AI. We’re coding the future of commerce with a leading platform powered by artificial intelligence and big data. Founded and developed by data scientists and aerospace engineers, Feedzai has one critical mission: make commerce safe. The world’s largest banks, payment providers and retailers use Feedzai’s machine learning technology to manage risks associated with banking and shopping, whether it’s in person, online or via mobile devices.   You We want your incredible talent to drive growth and help our customers be successful.  You are a curious person, driven by the willing of wanting to learn and looking for answers for challenging problems. You are a good-humoured team player, someone who’s reliable and accountable. You care for the quality of your work and for the success of the product you help developing.   Your day–to–day You will be monitoring real time queues and identify high-risk transactions You will use SQL to query large databases to find fraud trends  You will be collaborating with clients and law enforcement within fraud investigation You will be interacting with all relevant internal teams for the resolution of the day to day activities You will conduct analysis of fraud patterns, system performance monitoring, statistical data collection You will be managing potential fraud cases You will be analyzing and working on alerts reported by the system You will be ensuring confidentiality of all information collected during investigation You will be acting in accordance to agreed internal policies You will be adhering to Schemes related requirements You will be identifying system improvements to prevent fraudulent activities   Your know how:  You have a BA/BS degree You have 1-4 years of experience in fraud monitoring and analysis in eCommerce and/or merchant fraud You have 1-4 years of experience with SQL (mandatory) You have the ability to make sound judgments based on the weight of available data You have excellent analytical skills, both quantitative and qualitative You have the ability to work as part of a team and on own initiative You are detail orientated and result driven You have good communication and presentation skills

Feedzai is AI. We’re coding the future of commerce with a leading platform powered by artificial intelligence and big data. Founded and developed by data scientists and aerospace engineers, Feedzai has one critical mission: make commerce safe. The world’s largest banks, payment providers and retailers use Feedzai’s machine learning technology to manage risks associated with banking and shopping, whether it’s in person, online or via mobile devices.   You We want your incredible talent to drive growth and help our customers be successful.  You are a curious person, driven by the willing of wanting to learn and looking for answers for challenging problems. You are a good-humoured team player, someone who’s reliable and accountable. You care for the quality of your work and for the success of the product you help developing.   Your day–to–day Distilling complex data into insightful and useful visualizations Use modern visualizations languages or frameworks, such as D3.js, C3.js, Python, etc. Work with billions of data points, interact with colleagues from multiple projects within the Research and Data Science group   Your know how +1 year of experience as a Data Visualization Developer Programming experience with high level language such as Java or Python Should know/follow the work of visualization experts such as Eduard Tufte, Stephen Few,  Dona M. Wong, Alberto Cairo, Nathan Yau, Cole Nussbaumer Knaflic, or Jeffrey Heer Experience with very large datasets is a plus

Feedzai is AI. We’re coding the future of commerce with a leading platform powered by artificial intelligence and big data. Founded and developed by data scientists and aerospace engineers, Feedzai has one critical mission: make commerce safe. The world’s largest banks, payment providers and retailers use Feedzai’s machine learning technology to manage risks associated with banking and shopping, whether it’s in person, online or via mobile devices.   You We want your incredible talent to drive growth and help our customers be successful.  You are a curious person, driven by the willing of wanting to learn and looking for answers for challenging problems. You are a good-humoured team player, someone who’s reliable and accountable. You care for the quality of your work and for the success of the product you help developing.   Your day–to–day As a Data Scientist, your main role is to do Data Science work on projects for our clients. Occasionally this can be done from our offices, but often this will be done at clients' premises for security reasons, so there is a significant travel component involved (in some cases more than 30%) Understanding the data which our clients provide to us Cleaning that data and validating that it is correct Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc Iteratively computing features and tuning parameters to improve the quality of the model Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project Work together with the data scientists and engineers from our clients   Your know how: A PhD degree is valued but it's not mandatory PhDs from Machine Learning, Natural Language Processing, Image Processing, Signal Processing, Speech Processing, Optimization, etc are encouraged to apply. We speak your language. :) MScs from Computer Science, Electrical Engineering, Physics, Biomedical Engineering, etc, are also encouraged to apply You should be proficient in some language, enough that you can handle data processing and algorithm implementation in that language. Most of us use Python, Java, Scala or C++. Any of those is fine, among others Your main task will be researching new algorithms for fraud detection with Machine Learning methods Occasionally, you will have the opportunity to travel to our clients to help implement the algorithms you developed and/or to help set up our existing ML solutions "Publish or perish" doesn't exist here. If you develop something novel, publication is allowed and encouraged. If it's not novel but solves the problem, that's fine too

Feedzai is AI. We’re coding the future of commerce with a leading platform powered by artificial intelligence and big data. Founded and developed by data scientists and aerospace engineers, Feedzai has one critical mission: make commerce safe. The world’s largest banks, payment providers and retailers use Feedzai’s machine learning technology to manage risks associated with banking and shopping, whether it’s in person, online or via mobile devices.   You We want your incredible talent to drive growth and help our customers be successful. You are a curious person, driven by the  willingness  to learn and looking for answers  to challenging problems. You are a good-humoured team player, someone who’s reliable and accountable. You care for the quality of your work and for the success of the product you help developing.   Your day-to-day You are the link between raw data and our Data Scientists and Data Visualization Engineers building large-scale machine learning and data exploration tools to fight fraud worldwide. Work in a multidisciplinary team spanning across engineering, data science, data visualization and product development. Feedzaians are team players, always willing to help each other. Design and implement big/fast data pipelines and data processing platforms, picking and tuning the best tools for the job, based on your experience and deep knowledge. Face the demands of the financial industry, from scalability to fault tolerance to data protection and security. Help upholding our competitive edge by continuously learning and sharing your knowledge in company-wide Show & Tell sessions, technical talks and a reading group for the state-of-the-art scientific papers. We also provide a training budget. Take ownership of your work and always strive to raise the bar.   Your know how Must Have You should meet all of the following criteria to be a Data Engineer at Feedzai: Background in Computer Science or Software Engineering Strong algorithmic thinking and programming skills (Java, Scala or Python) Good understanding of Data Science subjects (Data Cleaning, Machine Learning, Statistics or Analytics) Nice to Have You need to meet at least half of the following criteria to be a Data Engineer at Feedzai: Graph processing concepts and technologies (DSE Graph, Neo4J or others) RDBMS  concepts and technologies and fluent in SQL (Oracle, PostgreSQL or others) Non-relational storage concepts and technologies (HDFS, Cassandra or others) Stream processing concepts and technologies (Storm, Flink or others) Batch processing concepts and technologies (Hadoop, Spark or others) Data Visualization concepts and technologies (D3, Tableau, Kibana or others) Experience with Enterprise and Cloud Platforms (Cloudera, AWS, Azure and others)

Tala is looking for an experienced, talented researcher to help lead design and mobile UI/UX research for our platform. The researcher should have significant experience in consumer mobile products and product discovery.  In addition, experience in the digital space in emerging markets and our target market is strongly preferred. This role is part of the Product Impact & Insights Group, which covers strategic and user research, usability testing, human-centered design, and early concept testing.  You and your team are responsible for ensuring we have the best understanding of our customers’ lives, attitudes, and behaviors. Your research will support many teams--including Product, Credit, Data Science, and Growth--and will be at the center of our mission to provide financial access, choice and control. Responsibilities Bridge user insights and product building Facilitate discovery research activities around need-finding, early/rapid prototyping, and related processes like design sprints Lead complex user research projects - design and deliver high-value studies both in the field and remotely Build a scalable international practice around design and mobile UI/UX research Manage and coach researchers located in emerging markets Hire additional researchers to grow the team as needed Stand up a process of regular user feedback (surveys, user testing) in emerging markets Create user research toolkits to spread best practices across Tala Coach other functions on basic user research Leverage our extensive mobile data to pioneer new research techniques Qualifications 5+ years experience as a User Researcher, 2+ years managing people Core expertise in research for consumer mobile products and product discovery Strongly Preferred: Significant experience in emerging markets or underserved populations Preferred: Experience in financial services Broad experience across the range of qual and quant research toolkit, from contextual inquiry to interactive design to quant surveys, usability testing and A/B testing Strong in tools of analysis and synthesis: Excel, PowerPoint or GoogleSlides Advanced Degree in HCI, Human Centered Design, International Development, Social Anthropology, or something similar The grit and drive to thrive in the uncertainty of a startup environment About Tala: Tala  is the leading mobile technology and data science company committed to financial inclusion globally. More than 1.3 million people have borrowed through Tala’s smartphone app, which provides instant credit scoring, lending, and other personalized financial services in emerging markets. Tala has raised more than $105 million from leading venture and impact investors including Revolution, IVP, Ribbit Capital, Data Collective, and Lowercase Capital. Tala’s global team is headquartered in Santa Monica, with additional offices in Nairobi, Manila, Dar Es Salaam, Mexico City, Mumbai, and Bangalore.

In order to fulfill our mission of an open financial system, we need to understand how to bring cryptocurrency to the mainstream. User research is critical to understanding both our current and potential users and knowing how to design for them. We are looking for an experienced user research strategist to help us define and evangelize User Research throughout our product teams. Responsibilities Serve as a strategic research partner embedded in multiple product teams Act as primary point of contact for all team research needs—from large foundational and generative projects to evaluative, tactical, and investigative quick wins Coordinate and conduct mixed-methods research, including interviews, concept testing, prototype testing, surveys, fieldwork, and other methods as needed Contribute to internal research processes such as archiving and communicating findings internally Provide thoughtful guidance and education to stakeholders to help turn vague business needs into actionable research questions Partner with other researchers on larger strategic research initiatives Requirements 4+ years of user research experience, preferably on consumer-facing mobile and desktop products Experience with a variety of mixed-methods research methods (interviews, surveys, street intercepts, concept testing, etc.) Can operate projects independently and provide confident strategic leadership Comfortable owning coordination, recruitment, and scheduling—we wear many hats, divas need not apply Working understanding of analytics and other data sources Adaptability, with a willingness to abandon methodological perfectionism Excellent hustle—the cryptocurrency industry moves at lightning speed! Collaborative attitude and desire to learn from others Experience in finance or knowledge of cryptocurrency is a plus, but definitely not required What to Send CV or LinkedIn profile

Job description About the role A blockchain is a novel economic system, and at Chainalysis, we are among the few who are asking fundamental questions about its nature. By answering these questions, we help build trust in blockchains between people, businesses, and governments, thereby enabling greater adoption. If you are an insightful and thorough researcher, we need you to help us develop and answer these fundamental economic questions using data. This ranges from measuring financial stability risks within cryptocurrencies, to evaluating how mining activity affects the price, to identifying the conditions for a blockchain to fork.   Your responsibility will be to help develop the research questions that the team investigates, to create research methods and data specifications that implement these questions, and to help evaluate findings with regards to their robustness and potential as a product. This latter responsibility will require communicating our proof of concept products to the rest of the firm, in particular the sales and product teams. In addition to working on internal product research, you will publish our research findings on our blog and via the media.   The role can be based in either New York, London or Copenhagen.   About Chainalysis Chainalysis builds trust in blockchains between people, businesses, and governments. We do this by structuring blockchain data to identify the economic system behind the technological system that is directly observed on a blockchain. We focus on cryptocurrencies, in particular those based on the Bitcoin and Ethereum blockchains, and are rapidly increasing our blockchain coverage. We then serve this data to our customers via an analytics platform.   In product research, we imagine and test hypotheses about the blockchain economy. For example: how liquid is Bitcoin? What is the PageRank of a darknet market? Do the top 100 ICO’s have a common set of investors? Our work is to both develop new features for our platform, and to share our insights with the world, which has so far led to coverage in the WSJ, Bloomberg and Sky News, among others.   We are a small, distributed team in New York, London and Copenhagen. We have amazing data and excellent technical backend support. We are at the cutting edge of blockchain analytics, so every week we can deliver new and unique insight. But we need you to join our team and bring your imagination, proactivity and technical analysis skills so we can develop new analytics products for this new industry. Requirements To be successful in this role, you will meet the following requirements: Knowledge, experience and technical skills: A Masters at a minimum, in a quantitative social science, such as Economics 2+ years in a quantitative research or consultancy role Technical skills to investigate and visualise data, in Python or R for preference Excellent ability to generate and test hypotheses, and put findings in context Excellent ability to write and communicate our research, both internally and to the media Knowledge of blockchains and cryptocurrencies is preferred but only an interest and willingness to learn is essential Personal skills: Proactive and collaborative: you will be responsible for ensuring that a research project is productive, by taking your own initiatives and providing guidance to the rest of the team Flexible and experimental: we are a rapidly growing start-up in a rapidly evolving industry; this means we iterate quickly and change direction if needed Ability to think and work at scale: successful product concepts will be integrated into our analytics platform and our public content reaches a wide audience; this means you will need to clearly explain complex concepts and express them precisely in data specifications Location and language: You have the right to work and are based in either New York, London or Copenhagen Fluency in English is essential We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Job description About the role A blockchain is a novel economic system, and at Chainalysis, we are among the few who are asking fundamental questions about its nature. By answering these questions, we help build trust in blockchains between people, businesses, and governments, thereby enabling greater adoption. If you are an insightful and thorough researcher, we need you to help us develop and answer these fundamental economic questions using data. This ranges from measuring financial stability risks within cryptocurrencies, to evaluating how mining activity affects the price, to identifying the conditions for a blockchain to fork.   Your responsibility will be to help develop the research questions that the team investigates, to create research methods and data specifications that implement these questions, and to help evaluate findings with regards to their robustness and potential as a product. This latter responsibility will require communicating our proof of concept products to the rest of the firm, in particular the sales and product teams. In addition to working on internal product research, you will publish our research findings on our blog and via the media.   The role can be based in either New York, London or Copenhagen.   About Chainalysis Chainalysis builds trust in blockchains between people, businesses, and governments. We do this by structuring blockchain data to identify the economic system behind the technological system that is directly observed on a blockchain. We focus on cryptocurrencies, in particular those based on the Bitcoin and Ethereum blockchains, and are rapidly increasing our blockchain coverage. We then serve this data to our customers via an analytics platform.   In product research, we imagine and test hypotheses about the blockchain economy. For example: how liquid is Bitcoin? What is the PageRank of a darknet market? Do the top 100 ICO’s have a common set of investors? Our work is to both develop new features for our platform, and to share our insights with the world, which has so far led to coverage in the WSJ, Bloomberg and Sky News, among others.   We are a small, distributed team in New York, London and Copenhagen. We have amazing data and excellent technical backend support. We are at the cutting edge of blockchain analytics, so every week we can deliver new and unique insight. But we need you to join our team and bring your imagination, proactivity and technical analysis skills so we can develop new analytics products for this new industry. Requirements To be successful in this role, you will meet the following requirements: Knowledge, experience and technical skills: A Masters at a minimum, in a quantitative social science, such as Economics 2+ years in a quantitative research or consultancy role Technical skills to investigate and visualise data, in Python or R for preference Excellent ability to generate and test hypotheses, and put findings in context Excellent ability to write and communicate our research, both internally and to the media Knowledge of blockchains and cryptocurrencies is preferred but only an interest and willingness to learn is essential Personal skills: Proactive and collaborative: you will be responsible for ensuring that a research project is productive, by taking your own initiatives and providing guidance to the rest of the team Flexible and experimental: we are a rapidly growing start-up in a rapidly evolving industry; this means we iterate quickly and change direction if needed Ability to think and work at scale: successful product concepts will be integrated into our analytics platform and our public content reaches a wide audience; this means you will need to clearly explain complex concepts and express them precisely in data specifications Location and language: You have the right to work and are based in either New York, London or Copenhagen Fluency in English is essential We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

What does the job entail? Lead our machine learning engineers in making next-generation improvements to our AI based receipt processing engine. We're looking for someone who is comfortable writing up a script to test a hypothesis, while also being able to strategically plan a solution to a complex problem. As a player-coach, you are driven by the satisfaction obtained when you foster the continued growth and success of your team. Being able to inspire your team to deliver their best work is a key asset. A day in the life: Be responsible for the continuous delivery of improvements to the receipt processing solution, at the rapid pace our clients have come to expect. Get hands-on and set a positive example by following best programming practices. Guide your team in their career development and be responsible for their growth, performance, and evaluation Organize and mentor a team of algorithm developers, as well as engineers working on machine learning, motivating them and cultivating an atmosphere of collaboration and transparency. A bit about you We’re a fast-paced start-up, so we need versatile self-starters who are motivated by new technologies, will jump right in and can hit the ground running. We don’t expect to find someone that is a perfect match to the details below, but here are the typical bullet points that we’re hoping you bring to the table: 5+ years of experience writing code with a heavy focus on algorithm development or experimental development in a research setting.   5+ years of coding experience outside of academia. 2+ years of experience leading or coaching teams. The ability to lead and mentor a team of developers and researchers to quickly build and test. In a perfect world, you’d also have: Machine learning experience, particularly working with neural nets A relevant post-secondary degree in Computer Science or Engineering. A near-fanatical zeal for hitting performance targets. What’s in it for me? We love #pie. Our culture is like that perfect piece of pie; humble and delivers exactly what you expect. Why #pie? That’s our acronym. We are a team of people that work to #getshitdone, all while ensuring Passion, Integrity, and Excellence. Joining a startup in the early days is pretty much the greatest adventure you can embark on in your career. You have the opportunity to make meaningful contributions; to make an impact. We are lean, we are smart, and we live for balance – there are no mandatory 60-hour work weeks here. This is not a top-down culture. We want everyone’s input during critical decisions. To that end, if you have ideas, we want to hear them. Together, we can build out your role, build our product, and our company. We want new core team members who want to invest in us the way we invest in them. We want your ideas, your energy, your skills, your dedication, and if you have any, we’ll take your #receipts too. What can I expect when I submit my application? A real person will review your application (no bribes or 8x10 glossies please) and either schedule a conversation with you or let you know that we’re passing on your candidacy within 5 business days. What if I have more questions before I apply? No worries at all! If you have additional questions prior to submitting your application, please feel free to reach out to Omar Khan, our recruiter at omar@getsensibill.com.  What does the interview process involve? The first step is a conversation with Omar. He'll focus on the human side of things and answer any questions you may have. From there, we’ll provide an opportunity for those that exhibit a high potential to be successful in our environment to demonstrate their technical capabilities and then talk shop with some of the Technology team. Assuming you’re one of our finalists, we’ll be sure to give you a tour of the office and introduce you to some of your future teammates. We’re not just interviewing you. We want to make sure that we’re the right fit for each other, so please feel encouraged to interview us at every step. Sensibill is an equal opportunity employer. Should you require accommodation in any aspect of our selection process, please contact Omar Khan at omar@getsensibill.com 

The Investment Writer will be responsible for creating a wide range of effective, compelling content across all mediums (digital, print and video) that supports business goals across intermediary, retail and institutional channels. As part of the Content team, the individual will work closely with the rest of the team and other project stakeholders to help craft an effective content and communication strategy. The writer is primarily responsible for gathering, conceiving and producing insights. This is an opportunity for an outstanding candidate who has a strong interest in business and investment.   Responsibilities Help drive the content strategy and create content to support the business and marketing priorities Interact with Director of Research & Strategy and other investment professionals, to extract insight and communicate it clearly Create web content and develop content for video, social media and PR opportunities Contribute to developing content for fund launches and marketing campaigns Qualifications Superb writing and editing abilities, and excellent interviewing skills Excellent communication and relationship building skills A self-starter with loads of creativity, team spirit, versatility and persistence Strong interest in business and investment Demonstrate ability to capture complex ideas and write clear, concise and engaging narrative and story-telling across different media including print, digital and video Excellent organizational and representational skills Excellent command of English language in reading, writing, speaking and listening Should be able to work independently or as part of a team Proficiency in Microsoft Word, Excel and Powerpoint

Job Description Undertake in-depth research of key industry trends and developments affecting 
industries in our key segments; including for each country in our coverage Conduct financial ratio analysis of enterprises and microfinance institutions Perform analytical checks on consumer creditworthiness ratings Provide analytical inputs and variables for in-house and over the counter bureau platforms globally Review quarterly financial benchmark of listed and unlisted companies across at least 20 industry groups Requirements Minimum degree in accounting/finance from a recognised institution Minimum 3 years’ of financial, research and analytical experience in a dynamic environment Good communication and people skills are a must Very comfortable with statistical analysis and report writing Versatile and adaptable to various people situations across cultures and markets Ability to monitor and track performance of industries and companies is highly critical

Sensibill is lighting up the FinTech industry with solutions that change the way people interact with their purchases and enable corporations to make critical insights. We are looking to expand our Research & Innovation team with a hands-on AI Dev Manager to lead our ML engineers in making next-generation improvements to our AI based receipt processing engine. We need an AI Dev Manager who is able to lead by example. Someone who is able to quickly whip up a script to test a hypothesis, but who can also plan an approach to solve a complex problem. We need a Dev Manager who doesn’t insist on being the smartest person in the room but wants to help develop others around them to be great because she or he knows that a rising tide lifts all boats.   As our new AI Dev Manager you will: Lead : Organize and mentor a team of machine learning and algorithm developers, motivating them and not commanding them. Develop : Get your hands dirty and set a shining example for the rest of the engineering team. Deliver : Be responsible for the continuous delivery of improvements to the receipt processing solution. Manage and Grow:  Guide your team in their career development and be responsible for their growth, performance, and evaluation.   So who are you? A seasoned developer, first and foremost . You have at least 5 years of experience writing code with a heavy focus on algorithm development or experimental development in a research setting.  Machine learning experience, particularly working with neural nets is an asset but not essential.  We believe mentorship is two way and particularly necessary in the nascent field of artificial intelligence. Open . You adapt to change, solicit input from others, and adopt the best ideas irrespective of their source. It’s not about being right at the beginning, but about following a structured process to get the right answer. Creative yet organized . Coming up with new ideas to test is second nature to you, but you’re still able to build a viable plan that fits in a larger context, and that you and the team can deliver on. A coach . You’ve been around the block and want to develop others to do their best work and help them see how to unblock themselves when faced with an obstacle. Desire  to manage .  You have been a team lead for at least two years and are at a point in your career where you are ready to make the jump to management but want to keep your hands dirty.   And this is what you'll have: A relevant post-secondary degree in Computer Science or Engineering. At least 3 years of coding experience in industry, outside of academia. At least 2 years of experience leading or coaching teams. The ability to lead and mentor a team of developers and researchers to quickly build and test. A near-fanatical zeal for hitting performance targets.   Why should you join Sensibill? We love pie.  We are fun. We are guided by conscientiousness. Our culture is like that perfect piece of pie; humble and delivers exactly what you expect. Why pie? That’s our acronym. We are all about passion, integrity, and excellence. We like to have fun, and share the love. So for your birthday, we will treat you to your favourite pie. Actually, we get a few of them so we can celebrate together. Joining a start-up in the early days is pretty much the greatest adventure you can go on.  We are lean, we are smart, we are fun, and we live for balance – there are no mandatory 60-hour weeks here. This is not a top-down culture. We want everyone’s input during critical decisions. To that end, if you have ideas, we want to hear them. Together we can build out and shape not just your role and your team, but our company. We want new core team members who want to invest in us the way we invest in them. We want your ideas, your energy, your skills, your dedication, and if you have any, we’ll take your #receipts too.