Deputy Manager - Fraud Analytics & Monitoring

1. reduce transaction disputes and fraud losses and adhere to Regulatory Compliance policies through data science
2. Analyze data on frauds and identify and recommend fraud rules rationalization to reduce frauds, enhance customer experience and ensure regulatory compliance
3. Analyze & design rules for the fraud monitoring systems (Falcon ) to control key fraud risk metrics like FPR, ADR, VDR etc.
4. Build fraud models using RPA for early detection of frauds, build Machine Learning predictive models to detect fraud trends
5. Apply consumer behavior patterns, key portfolio drivers and macro-economic indicators and use data science to identify upcoming fraud trends & plug process gaps to improve forecast accuracy
6. Prepare & publish reports for management on various key indicators i.e. consumer transaction behavior, demographic indicators and key fraud drivers
7. Monitor fraud trends and alert decisioning, feed back the learnings/observations into the system and training people for process improvements