- 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
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