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

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

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

• 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

• 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

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