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Senior Analyst​/Analytics Manager - Fraud Risk

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Job Search Place Limited
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Analyst, Cybersecurity
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 68807 - 86312 GBP Yearly GBP 68807.00 86312.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Senior Analyst/Analytics Manager – Fraud Risk

Location: London |
Full-time

Salary: £68,807 – £86,312 per year

What you will do
  • Design, test, and deploy real-time fraud decisioning strategies combining rules and ML models across products and markets.
  • Analyze high-volume event data to uncover emerging patterns such as account takeover, synthetic identities, mule activity, refund abuse, and first- or third-party fraud.
  • Run champion/challenger experiments and A/B tests, continuously monitoring precision/recall, false-positive rate, approval rate, loss bps, chargeback rate, and customer friction.
  • Build detection features and signal pipelines in partnership with Engineering, Product, and Data Science.
  • Lead incident response during fraud spikes with clear mitigations and post‑mortems.
  • Evaluate and integrate vendor signals (device, identity, behavioral, telco, sanctions/PEP, 3DS) where they deliver measurable lift.
  • Translate insight into action through clear specifications, rollout plans, alerting dashboards, and stakeholder updates to drive fast, high‑quality decisions.
Who you are
  • 2-5+ years in fraud strategy/analytics or credit underwriting/risk decisioning within payments, consumer finance, or large‑scale e‑commerce.
  • Hands‑on with SQL and Python or R to prototype analyses and experiments.
  • Ownership of a production fraud/credit policy or modeling strategy with demonstrated KPI impact.
  • Strong experiment design skills (A/B testing, champion/challenger), metric trade‑off evaluation, and post‑deployment monitoring.
  • Excellent communication with senior stakeholders; able to influence and drive decisions quickly.
  • Experience with fraud/risk vendor ecosystem (device fingerprinting, identity graphs, behavioral biometrics, 3DS/SCA) and structured evaluation methods is a plus.
  • Knowledge of PSD2/SCA/3DS and TRA exemptions; ability to design compliant controls without harming conversion.
  • Exposure to LLM‑assisted investigations (case summarization, entity extraction, workflow automation) is a plus.
  • On‑call support experience during active fraud attacks and ability to perform under pressure.
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Position Requirements
10+ Years work experience
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