Staff Analytics Engineer in London

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo.

Our Borrowing Analytics Engineering Team's mission is to help people achieve their financial goals through better borrowing. Our customers borrow money to achieve something in their lives — whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. We’re shaping this mission by building products our customers love, while safely scaling some of Monzo’s biggest revenue lines.

Borrowing is one of Monzo’s most complex and fastest-growing domains. We operate 12+ products across multiple geographies, underpinned by 1,700+ data models and an analytics engineering team that’s scaling to match. We’re in the middle of a major data architecture transformation, expanding into new markets, and building the next generation of data infrastructure to support it all.

We’re looking for a Staff Analytics Engineer to help shape how Borrowing builds and uses data at scale. Reporting to the Borrowing Data Director, you’ll work across product, credit, engineering, Data Platform, and analytics engineering teams to turn complex technical problems into clearer systems, stronger data products, and better business decisions.

You’ll play a key role by:

• Architecting Borrowing’s data layer at scale.
• Partnering across Analytics Engineering, Product, Engineering, Credit, and Data Platform to shape how 1,700+ models across 12+ products are structured, connected, and evolved.
• Designing and governing data products.
• Building feature stores and reusable analytical assets.
• Scaling our analytics engineering infrastructure.
• Driving cross-product data consistency.
• Being a senior technical partner for Borrowing’s data estate.
• Leading through influence and leverage.

We’d love to hear from you if:

• You think in systems, not just queries.
• You’ve built data products, not just data models.
• You have deep fluency with analytics engineering systems and infrastructure.
• You can design reusable feature layers.
• You’re comfortable at the platform boundary.
• You connect technical choices to business outcomes.
• You lead through others.
• You communicate across altitudes.
• You care about credit products.

Interview process:

• Recruiter call
• Initial call
• 3 x 1 hour sessions (final interview)

Our average process takes around 3-4 weeks but we will always work around your availability.

What’s in it for you:

• 121,600-164,600 + Incentive Awards tied to your performance and benefits.
• We can help you relocate to the UK.
• We can sponsor visas.
• This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
• Learning budget of 1,000 a year for books, training courses and conferences.
• And much more, see our full list of benefits.

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.