Risk Data Analyst

We're looking for a curious, adaptable data analyst to help us better understand, monitor and analyse our risks and metrics to enable us to quickly spot areas that require action and keep Monzo safe.

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 60,000 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 Data team's mission is to Enable Monzo to Make Better Decisions, Faster. At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for relevant analytics events from their microservices. All our data lives in one place and is super easy to use.

We work in cross-functional teams where every data analyst or scientist is a member of a central data team while being fully embedded into other teams, such as product, finance or financial crime alongside engineers, designers, product managers etc.

The Role

You’ll be at the intersection between Risk & Compliance and Data - deep diving into risk analytics, particularly around how we perform against our risk appetites across the company and driving automation across a range of reporting and alerting processes. You will be responsible for all the data needs of the risk & compliance team, from building of our risk data pipeline to producing the analysis of our risk metrics. This will involve working closely with engineers and other data analysts across the company to ensure that we are collecting and using the right data.

You’ll play a key role in helping us with the following questions and challenges:

• How can we automatically bring together data points from different systems and teams across the company to support our risk reporting and analysis needs?
• How do we spot and alert senior management of negative risk trends or likely breaches of risk appetite?
• What are the high impact automation tools that can be built for the risk team so we minimise time spent on recurring processes?
• How do product rollouts, customer behaviours and operational processes impact our company risk profile?
• How are different business areas performing against their risk appetite and metrics; how can we use this information to better understand our company risk and drive optimal business decisions?

We’re looking for someone who cares deeply about understanding our business, customers and risks, who can communicate their findings clearly to business partners and can drive actions on top of insights.

You should apply if:

• What we’re doing here at Monzo excites you!
• You are inquisitive and happiest exploring data, making discoveries and understanding their implications
• 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 have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You delight in automating processes, building datasets and analysing data to support business and risk decisions
• 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 have risk analytics experience and understanding of risk management, preferably in fast moving tech or finance company