Fraud Strategy Lead / Fraud Data & Strategy Analyst

About the job

Fraud Strategy Lead: Key Competencies: • Fraud Pattern Recognition - Rule Design (acquisition and transaction) • Stakeholder Management • Customer Experience Awareness • Strategic and Analytical Thinking Domain Knowledge: • End-to-End Fraud Lifecycle: Acquisition fraud, transaction fraud, chargebacks, post-fraud processes. • Strategy & Control Design: Rule frameworks, ECM strategies, false positive vs catch rate optimization, layered defenses. • Analytics Literacy: Fraud KPIs (Fraud Rate, FPR, TPR, Decline Rate, NPV), model interaction, A/B testing, precision-recall. • Fraud Economics: NPV & ROI calculations, P&L impact of fraud strategy, approval vs control trade-offs. • Ecosystem & Vendors: LexisNexis, Socure, IDA, eCBSV, device intelligence, behavioral biometrics, consortium data. • Ops & Tech: Rule deployment lifecycle, latency impacts, alert workflow design, escalation process. Ideal Background: • 6+ years in fraud strategy, credit card risk, or fraud analytics - Experience designing fraud strategy and working with rule engines - Exposure to vendor tools and model governance - Strong stakeholder engagement skills in a BFSI context Role: Fraud Data & Strategy Analyst: Key Competencies: • Data Analytics (SQL, Python, R) • Quantitative Fluency • Pattern Recognition • Automation Ops • Model Interaction Domain Knowledge: • Performance measurement - Feature extraction and basic model interaction. Ideal Background: • 2–4 years as a data analyst in fraud, credit risk, or fintech - Strong SQL and data visualization skills (Power BI / Tableau) - Familiarity with fraud KPIs and reporting - Experience supporting strategy and/or rule teams with data insights