Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife We are hiring Senior BI Analysts to join our Fraud & Financial Crime and Collections & Recoveries teams. These roles are ideal for technically strong, curious analysts who enjoy using data, reporting and automation to solve meaningful business problems. You will improve access to insight, reduce manual processes and build scalable data solutions that support better decisions across the bank. We are recruiting through one pipeline and will align successful candidates to the team that best matches their experience, interests and business need. The opportunity Both roles have a strong BI and reporting focus, with a meaningful element of data modelling and collaboration with Analytics Engineering. You will build trusted data pipelines, establish semantic layers with clearly defined metrics and design self-serve reporting. You will enable analysis at scale and help teams monitor performance, identify opportunities and make informed decisions. Depending on your alignment, you could support: Collections & Recoveries Helping to deliver better outcomes for customers in financial difficulty through high-quality MI, operational performance insight and process efficiency. You will partner closely with Collections, Operations and Credit Strategy stakeholders to understand performance, improve reporting and support data-led decision making. Fraud & Financial Crime Help protect Zopa and our customers from fraud and financial crime by building the data products that sit behind smarter, faster controls. You’ll create trusted MI, scalable data models and automated monitoring across fraud performance, transaction monitoring, screening and operational controls. You’ll be giving teams the insight to spot emerging threats, improve customer outcomes and meet regulatory expectations with confidence. \n A day in the life Design, build and maintain dashboards using Tableau or similar BI tools Use SQL to explore data, build structured datasets and deliver repeatable analysis Partner with stakeholders to understand business problems and turn them into practical analytical solutions Define, document and maintain clear, trusted metrics Deliver recurring MI and self-serve reporting that supports operational and risk decision making Work with Analytics Engineering to design and improve core data models, including modernising stored-procedure logic into maintainable transformations Improve data quality, reporting standards and the usability of analytics products Support performance monitoring across either operational or risk-focused domains About you Experience in a BI, analytics or reporting role, with a track record of creating reliable production datasets, scalable reporting and self-serve insight Strong SQL skills and confidence working with large, complex datasets Experience with a BI tool such as Tableau, Looker or Power BI Experience with data modelling or dbt, including building robust pipelines and maintaining clear documentation Strong analytical judgement, attention to detail and focus on data accuracy Ability to take ambiguous business needs, work productively with technical and non-technical stakeholders, and turn them into practical data products Communicate clearly, constructively challenge and explain complex data concepts to non-technical stakeholders. An organised, curious approach to problem solving and managing priorities Python experience would be beneficial but is not essential Helpful experience For the Collections & Recoveries role, experience analysing credit, operational or customer performance metrics would be useful For the Fraud & Financial Crime role, an interest in fraud prevention or financial crime risk would be valuable. Experience in financial services, risk, fraud or financial crime is helpful but not essential \n At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. Our approach to AI in interviews At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs. Because of that, we want to be transparent about how we think about AI use during our hiring process. Behavioural and competency-based interviews: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other. Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.

Senior BI Analyst (Fraud & Financial Crime / Collections & Recoveries)