Senior Data Analyst - Fraud Analytics
Quik Hire Staffing
Recruitment Agency
About the job
- Role: Senior Data Analyst - Fraud Analytics
- Employment Type: Full-Time
- Location: London, United Kingdom
- Work Model: Hybrid
- Compensation: £70,000 – £95,000 per year + Bonus & Benefits About the Role: On behalf of our client, a prominent global online delivery and marketplace platform, we are seeking a Senior Data Analyst - Fraud Analytics in London. In this mission-critical analytics role, you will uncover complex fraudulent patterns across payments, account takeovers, promotional abuse, and courier collusion, designing automated detection models that safeguard platform revenue. Key Responsibilities:
- Analyze multi-terabyte transactional and behavioral datasets to identify novel fraud vectors, payment chargeback patterns, and promo abuse.
- Build, evaluate, and tune automated fraud detection rules, anomaly detection algorithms, and risk scoring models.
- Partner closely with Fraud Product Managers and Engineering to integrate real-time fraud mitigation logic into checkout and dispatch pipelines.
- Develop real-time fraud monitoring dashboards, loss prevention scorecards, and executive risk metrics in Tableau or Looker.
- Conduct deep-dive forensic investigations on emerging syndicated fraud attacks and recommend immediate defensive counter-measures.
- Balance fraud friction with user experience, ensuring legitimate customers and couriers enjoy seamless platform interactions.
- Formulate statistical hypothesis tests to quantify the financial impact and false-positive rates of newly introduced fraud rules. Required Skills & Qualifications:
- 5+ years of dedicated experience in fraud analytics, risk intelligence, payments fraud, or cyber analytics in e-commerce or fintech.
- Advanced proficiency in SQL and Python/R for large-scale data analysis, machine learning classification, and predictive modeling.
- Deep understanding of digital payment mechanisms, chargeback mitigation, 3DS protocols, and identity verification systems.
- Proven track record in translating complex fraud forensics into actionable platform rules and product features.
- Strong mathematical and statistical modeling capabilities with high attention to detail.
- Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, or related field.
- Excellent English communication skills. What the Role Offers: Highly competitive base salary, performance bonus, and equity options. Comprehensive private healthcare, generous workplace pension contribution, and transit support. Hybrid working environment balancing remote focus with vibrant London office collaboration. Crucial role protecting multi-billion euro transactions across global digital marketplaces. : Apply Now
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