Fraud Analytics Role - SAS/R/SQL

- The candidate should have analytics experience at least 2-8 with sufficient exposure of Fraud Analytics

- Must have a strong knowledge of SAS/R/SQL

Responsibilities :

- Contribute to how analytical approach is structured for specification of analysis

- Participate in design of analysis and modeling approach with senior managers and the client

- Drive project methodology with relative ease

- Emphasis is on ownership and executing end-to-end delivery of analysis

- Extremely comfortable working with data, including managing large number of data sources, analyzing data quality and pro-actively working with client's data/ IT teams to resolve issues

- Use variety of analytical tools (SAS, CART, SPSS etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions

- Reformulate highly technical information into concise, understandable terms for presentations.