Fraud Data Analyst
other jobs ABL Recruitment
Added before 2 hours
- England,South East,Oxfordshire
- Full Time, Contract
- £27.50 - £30 per hour
Job Description:
Full job descriptionFraud 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
*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
*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.
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
*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.
Job number 3941188
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Company Details:
ABL Recruitment
Company size:
Industry:
ABL is a leading Recruitment Consultancy based in central London, predominantly focused on the recruitment of multilingual speakers across the UK and ...