Credit Risk Modeling Role - BFSI

- Traditional Modelling - Must have hands on expertise in developing and managing scoring models

- Traditional Modeling techniques like Regression, Logistic Regression, Factor Analysis, Segmentation, Discriminant Analysis, Stochastic Process, Time Series

- Advanced Modelling Hands-on knowledge on using advanced machine learning technologies - SVM,GBM, RF, XG Boost

- Problem Solving - Ability to solve unstructured problems and generate insights that business can leverage

- Provide support in the management and efficient delivery against requirements set forth by internal Risk oversight group as well as external regulators

- Preferred - Traditional and Advanced Modelling (especially anyone who has experience on PD/LGD model)

Tools and Platforms:

- Proficient in SAS, SQL, R, Python and familiarity with Hadoop and related tools (Hive, Hue, MapReduce, Impala, etc.) preferred.

- Proficient in MS Excel, PowerPoint