About the role

Job Title: Fraud Strategy Analyst / Senior Fraud Strategy Analyst

Location: Gurgaon / Bangalore (5 Days Work From Office)
Experience: 6+ Years
Notice Period: Immediate to 30 Days Preferred

Job Summary

We are looking for a highly analytical Fraud Strategy Analyst to join our Risk & Fraud Analytics team. The ideal candidate will have strong expertise in Fraud Strategy, Python, SQL, and Loss Forecasting with hands-on experience in designing fraud prevention strategies, optimizing fraud rules, analyzing transaction data, and forecasting fraud losses. This role requires close collaboration with Risk, Product, Operations, and Technology teams to build data-driven fraud mitigation strategies while maintaining an excellent customer experience.

Key Responsibilities

Design, implement, and optimize fraud strategies across customer and transaction lifecycles.
Develop and enhance fraud rules to reduce fraud losses while minimizing false positives.
Perform fraud analytics using Python and SQL to identify emerging fraud patterns and customer risk segments.
Build loss forecasting models to estimate fraud exposure, financial impact, and future fraud trends.
Monitor fraud KPIs such as Fraud Loss Rate, Fraud Capture Rate, Approval Rate, False Positive Rate, and Chargeback Rate.
Conduct transaction monitoring, behavioral analysis, and root cause investigations for fraud incidents.
Analyze portfolio performance and recommend strategy improvements based on fraud trends.
Partner with Product, Risk, Operations, and Engineering teams to implement fraud decision strategies.
Prepare dashboards and executive reports highlighting fraud performance and business insights.
Perform A/B testing and champion-challenger analysis to evaluate fraud strategy effectiveness.
Continuously monitor fraud rule performance and recommend optimization opportunities.
Ensure compliance with internal risk policies and regulatory requirements.

Mandatory Skills

Strong experience in Fraud Strategy and Fraud Risk Analytics.
Excellent hands-on experience with Python .
Advanced SQL skills for large-scale data analysis.
Experience in Loss Forecasting and fraud loss estimation.
Expertise in transaction monitoring and fraud trend analysis.
Experience with fraud rule development and optimization.
Strong analytical and problem-solving skills.
Experience working with large datasets in banking or financial services.