Details:

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)
• 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.

Min. Qualification:

ug

Skills Required:

clustering, data analysis, financial modeling, logistic regression, machine learning, mathematics, python, r, random forest, Risk Analytics, Scorecard building, statistical modeling, Underwriting