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

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.

• 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

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