Manager - Fraud Analytics & Monitoring

1. Analyze data on frauds and identify and recommend fraud rules rationalization to reduce frauds, enhance customer experience and ensure regulatory compliance
2. Analyze & design rules for the fraud monitoring systems (Falcon / Wibmo / Hunter) to control key fraud risk metrics like FPR, ADR, VDR etc.
3. Build fraud models using RPA for early detection / prevention of frauds, build Machine Learning predictive models to detect fraud trends
4. 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
5. Prepare & publish reports for management on various key indicators i.e. consumer transaction behavior, demographic indicators and key fraud drivers
6. Monitor fraud trends and alert decisioning, feed back the learnings/observations into the system and training people for process improvements
 

Technical Skills:

1. In-depth knowledge of Data Analytics for predicting and analyzing large data
2. Knowledge of Data Analytics tools including SAS, SAS-VA, Python, R, SQL, Excel, Tableau etc.
3. Knowledge of Data Science concepts & their application on large data
4. Experience of generating reports, dashboards and performing analysis
5. Fraud Engine Rule Writing & Review

Experience:

4-5 years in Data Analytics

Fruad Related background is must