Vice President - Risk Analytics - FinTech

As a part of the core leadership team, You will be responsible for leading, innovating, planning and growing the Risk Analytics function.

Key Responsibilities :

- 8+ Years of experience in developing end-to-end behavioral risk scorecards using advanced Machine Learning and Traditional Regression techniques for Consumer Lending products like Credit Cards, Mortgage etc. in Credit Risk domain

- Developing Portfolio risk scorecards like Probability of default (PD) or Propensity to Bankruptcy

- Designing and developing end to end profitability driven machine learning technique based Credit Line Increase (CLI) optimization framework for proactive credit line increase (PCLI) program

- Developing Credit Abuse First Party Fraud and Credit Bust-Out Scorecards to mitigate first party fraud losses

- In-depth knowledge of Proactive Programs like Balance Transfer, Proactive Line. Increase, Line Assignment etc. along with modeling steps like target definition, segmentation, variable reduction and hyper parameter optimization for both traditional and machine learning techniques

- Hands on experience of advanced machine learning techniques like Random Forest, Gradient Boosting (GBM), Extreme Gradient Boosting (XGB) etc. and tools like R, H2O, Python, HIVE, SAS, SQL

Key requirements :

- With good communication and presentation skills and Excellent problem solving skills

- Experience leading teams of size 5-15 members

- Bachelor's/Master's degree in mathematics/ statistics/ economics or equivalent

- Master's degree is preferred