Lead Analytics Engineer Borrowing
MonzoCardiff, Londonfull-time
$97,800 - $125,000
AI Summary: Design and oversee data platforms and models for Monzo's borrowing products, working with stakeholders across the business to enable data-driven decision making. Lead a team to build scalable analytics infrastructure that supports product performance measurement and business growth.
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Originally posted onremoteok on 5/1/2026
Full Description
ðLondon, Cardiff or Remote in the UK | ð° £97,800 -125,000 + Benefits | Hear from the team â¨Â
âOur Borrowing Analytics Engineering Team:
Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether thatâs making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And weâre looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely.Â
We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers.Â
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.Â
ðYouâll play a key role by...
- Serving as a data architect for Monzoâs Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite.
- Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
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