Senior Analyst/Analytics Manager (Fraud Risk)

TL;DR

Senior Analyst/Analytics Manager (Fraud Risk): Designing and deploying real-time fraud decisioning strategies and ML models to combat account takeover and identity fraud with an accent on high-volume event data analysis and KPI optimization. Focus on running champion/challenger experiments, building signal pipelines, and translating fraud insights into actionable product specifications.

Location: London

Salary: £68,807 - £86,312

Company

hirify.global is a leading global fintech company specializing in payment solutions and consumer finance.

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 patterns of account takeover, synthetic identities, mule activity, and refund abuse.
• Run champion/challenger experiments and A/B tests, monitoring precision/recall, false-positive rates, and customer friction.
• Build detection features and signal pipelines in partnership with Engineering, Product, and Data Science teams.
• Lead incident response during fraud spikes and integrate vendor signals (device, identity, behavioral) for measurable lift.
• Translate data insights into clear specifications and rollout plans supported by alerting dashboards.

Requirements

• 2–5+ years in fraud strategy/analytics or credit underwriting/risk decisioning within payments, consumer finance, or e-commerce.
• Hands-on proficiency with SQL and Python or R for prototyping analyses and experiments.
• Proven ownership of a production fraud/credit policy or modeling strategy with demonstrated KPI impact.
• Strong experiment design skills (A/B testing, champion/challenger) and post-deployment monitoring.
• Excellent communication skills with the ability to influence senior stakeholders.
• CV must be submitted in English.

Nice to have

• Experience with fraud/risk vendor ecosystems, including device fingerprinting, identity graphs, and behavioral biometrics.
• Knowledge of PSD2/SCA/3DS and TRA exemptions.
• Exposure to LLM-assisted investigations for case summarization and workflow automation.
• Experience providing on-call support during active fraud attacks.