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Zopa Bank is hiring Senior BI Analysts to join either the Fraud & Financial Crime team or the Collections & Recoveries team. Both roles focus on using data, reporting, and automation to solve meaningful business problems across the bank.
In the Fraud & Financial Crime role, you will help protect Zopa and its customers by building data products that power smarter, faster controls. You'll create trusted management information (MI), scalable data models, and automated monitoring across fraud performance, transaction monitoring, screening, and operational controls. Your work will give teams the insight to spot emerging threats, improve customer outcomes, and meet regulatory expectations.
In the Collections & Recoveries role, you will deliver better outcomes for customers in financial difficulty through high-quality MI and operational performance insight. You'll partner closely with Collections, Operations, and Credit Strategy stakeholders to understand performance, improve reporting, and support data-led decision making.
Day-to-day responsibilities include: designing and building dashboards in Tableau or similar BI tools; using SQL to explore data and build structured datasets; partnering with stakeholders to translate business problems into analytical solutions; defining and documenting clear, trusted metrics; delivering recurring MI and self-serve reporting; collaborating with Analytics Engineering to design and improve core data models; and improving data quality and reporting standards.
Zopa values flexible working and a good work-life balance. This hybrid role requires 2-3 days per week in the London office, with the option to work from abroad for up to 120 days per year (subject to right to work).
Requirements:
- 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 and turn them into practical data products
- Clear communication skills; ability to constructively challenge and explain complex data concepts to non-technical stakeholders
- Organised, curious approach to problem solving and managing priorities
- Python experience would be beneficial but is not essential
Helpful experience:
- For Collections & Recoveries: experience analysing credit, operational, or customer performance metrics
- For Fraud & Financial Crime: interest in fraud prevention or financial crime risk
- Financial services, risk, fraud, or financial crime background (helpful but not essential)
