Fraud strategy lead || Fraud Data & Strategy Analyst

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