Senior Data Analyst - Fraud & Financial Crime
Team: Fraud Analytics
Location: London
Commitment: Employee - Permanent
Workplace Type: hybrid
A day in the life
- Acting as a senior point of escalation during fraud incidents, supporting prioritisation and decision making
- Leading end-to-end fraud analysis using SQL and Python to detect, investigate and mitigate fraud risks
- Taking real-time analytical input into fraud blocks, controls and interventions
- Optimising fraud rules and supporting the monitoring of machine learning models
- Improving onboarding and account-level controls to prevent bad actors entering the ecosystem
- Creating and maintaining fraud reporting and dashboards using Tableau
- Working closely with Fraud Strategy, Fraud Operations, Product and Engineering teams
- Supporting the Fraud Analytics Manager as a senior individual contributor and trusted partner
- Participating in the on-call rota, typically one week per month, supporting out-of-hours fraud incidents with additional pay
About you
- Analytical experience with advanced SQL
- Python experience for data analysis
- Proven ability to own complex, ambiguous analytical problems end-to-end
- Experience translating analysis into clear, actionable recommendations
- Confidence working with senior stakeholders in a fast-paced environment
- Ability to remain calm and make sound decisions under pressure
- Experience in fraud, financial crime or risk analytics is a plus
- Exposure or an interest in fraud decisioning systems or real-time monitoring tools
- Prior experience in using live decisioning systems or working with machine learning models
- Background in Fraud/ Fincrime (or similar setting)
- Fintech, banking or high-growth tech environments would be ideal
Interview Stages
- 1. Recruiter Screening (30 mins)
- Focus: motivation, problem-solving mindset, technical background, and interest in fraud analytics.
- 2. SQL Technical Assessment (1 hour Zoom)
- Focus: writing clean, accurate SQL
- 3. Fraud Analytics Case Study (1 hour Zoom)
- Focus: how you approach a fraud problem end-to-end. No prior fraud experience required — we’re testing thinking, structure, and communication.
- 4. Final Interview (1 hour in-office)
- Focus: competencies, collaboration, decision-making under pressure, and alignment with Zopa’s values.
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