Fraud Strategy Manager

1. Continuously Analyze data on frauds prevented frauds to Identify and implement rule strategies to reduce frauds, enhance customer experience and ensure regulatory compliance.
2. Use data science to identify upcoming fraud trends plug process gaps.
3. Design and implement rules in the fraud monitoring systems (Falcon / Wibmo / Hunter) to control key fraud control metrics like FPR, ADR, VDR etc.
4. Apply consumer behavior patterns, key portfolio drivers and macro-economic indicators for improving forecast accuracy.
5. Build Machine Learning predictive models to detect fraud trends.
6. Prepare publish reports for Management on various key indicators i.e. consumer transaction behavior, demographic indicators and key fraud drivers.
7. Build Fraud models using RPA for early detection / prevention of Frauds.

Skills-

1. Good Knowledge of Analytics tools including SAS, SAS-VA, Python, R, SQL, Excel, Tableau

2. Fraud Engine Rule Writing & Review,

3. Indepth knowledge of Data Analytics for predicting and analyzing large data.
4. Knowledge of Data Analytics tools including SAS, SAS-VA, Python, R, SQL, Excel, Tableau etc.
5.. Knowledge of Data Science concepts & their application on large data.
6. Experience of generating reports, dashboards and performing analysis.