Advanced Analytics Professional - Risk - Financial Firm

Role and Responsibilities :

- 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).

- Indian banking experience prefered.

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