Fraud Data Analyst
6 days ago
Oxford
Job Description Fraud Data Analyst (Contract) You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. Hybrid (UK) | Oxford 1 day per week | 6-Month Contract £27.50–£30.00 per hour | 37.5 hours per week We're looking for a hands-on Fraud Data Analyst to join a fast-moving Trust & Safety team. You'll use SQL to investigate fraud, chargebacks, payments, compliance, and operational trends across large, complex datasets, often containing millions of records. What You'll Do • Analyse large-scale transaction and payment data to identify fraud trends and root causes Combine multiple data sources to uncover actionable insights Develop recommendations, fraud controls, alerts, and operational improvements Support fraud and chargeback investigations Produce operational and performance reporting Identify opportunities for automation and process improvement Present complex findings clearly to technical and non-technical stakeholders What You'll Bring • Strong hands-on SQL skills and experience working with large datasets Proven ability to investigate issues, identify root causes, and drive business action Excellent data storytelling and stakeholder communication skills Curious, proactive mindset with an interest in automation and AI-assisted analysis Nice to Have xwwtmva • Fraud, payments, e-commerce, FinTech, risk, compliance, or Trust & Safety experience BigQuery, Tableau, Looker, Python, SPSS, Jira Experience with AI tools such as Claude, Gemini, or Cursor Workflow automation tools such as n8n This role would suit a Data Analyst, Data Analyst, Insight Analyst, Fraud Analyst, Risk Analyst, Compliance Analyst, or Data Scientist with around 3–5 years' experience.