Fraud Data Analyst

Fraud Data Analyst (Contract)

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

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• Analyse large-scale transaction and payment data to identify fraud trends and root causes
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• Combine multiple data sources to uncover actionable insights
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• Develop recommendations, fraud controls, alerts, and operational improvements
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• Support fraud and chargeback investigations
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• Produce operational and performance reporting
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• Identify opportunities for automation and process improvement
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• Present complex findings clearly to technical and non-technical stakeholders
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What You'll Bring

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• Strong hands-on SQL skills and experience working with large datasets
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• Proven ability to investigate issues, identify root causes, and drive business action
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• Excellent data storytelling and stakeholder communication skills
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• Curious, proactive mindset with an interest in automation and AI-assisted analysis
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Nice to Have

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• Fraud, payments, e-commerce, FinTech, risk, compliance, or Trust & Safety experience
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• BigQuery, Tableau, Looker, Python, SPSS, Jira
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• Experience with AI tools such as Claude, Gemini, or Cursor
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• Workflow automation tools such as n8n
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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.