Vice President - Risk Analytics - Retail Banking

- Lead Risk analytical workstreams including development of risk scorecards for new products and target population segments

- Build the advanced analytical Decision Engines for underwriting and Cross-Sell, using combinations of traditional logistical regression scorecards, machine learning and alternative data analysis

- Design analytical Collections / Early Warning System strategies e.g. segment-based Collections strategies, settlement scorecards, loan restructuring approach

- Collaborate across other functions (e.g. Risk, Digital, Technology) to implement the analytical decisions, e.g. run Test & Learn Pilots

- Establish performance measurement and reporting approach, as well as feedback loop from portfolio analysis into underwriting decision engines

- Implement AI approach to continuously screen internal portfolio for action triggers e.g. increased Cross-Sell propensity, early warning alerts

- Provide ongoing guidance and coaching to data scientists in the team, ensure timely training and skills improvement of the team.

Requirements :

- At least 7 years experience in managing analytical teams using statistical regression scorecards and machine learning modeling (e.g. GBM, clustering, Random Forest)

- Skills required : analytics team leadership experience, in-depth knowledge of scorecards and bureau, R, Python, statistical modeling / mathematics

- Analytics experience in Financial Services / Lending is required, experience in India is preferred