Statistical Modeling Role - Fraud Analytics - SAS & SQL - BFS

Statistical Modeling - Fraud (SAS&SQL)

We are hiring for a leading Financial organization based at Mumbai

Experience : 4-9 yrs in Analytic, Fraud Models, Fraud strategy

Education : Graduate/ Masters / MBA in Economics, Mathematics, Statistics, Finance, Computer science.

Role & Responsibilities :

- Development of new fraud strategies using statistical and analytical techniques including decision trees, random forests and other quantitative methods. Goal will be to identify and mitigate new and emerging fraud threats.

- Identifying new sources of data (internal or vendor-provided) that can enrich existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed.

- Will require close coordination with partners in Fraud Technology.

- Developing Fraud models to detect Fraud and help in making strategies to prevent Fraud.

- Doing Data analytic to to identify new and emerging fraud threats

- Involved in Development of new fraud strategies using analytical techniques including decision trees, random forests and other quantitative methods.

- Suggestions for new sources of data for fraud detection.

- Helping in doing analytic and detect fraud in any of the given products - Credit Card / Debit Card / Deposit / Check /Reporting / ATO/New Accts/Digita

- Strong statistical analytics skills and knowledge of advanced statistical analysis tools including SAS, SQL,