ABL Recruitment
Fraud Data Analyst

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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
- 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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, Insight Analyst, Fraud Analyst, Risk Analyst, Compliance Analyst, or Data Scientist with around 3–5 years' experience.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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