List of questions to address:

1. What is Consumer Lending Business and how it works and why this business works?
2. What is digital consumer lending and how it works and why this business works?
3. How digital consumer lending business similar and different from products/services provided by other financial intitutions?
4. List of products/services provided by consumer lending business?
5. Fundamentals: finance glossary, buerau report terminology, credit risk terminology?
6. Different Data science teams in a digital Lending?
7. Data Science Use cases for Lending risk, collection team?
8. Data Science Use cases for Lending growth team?
9. In depth Products and it’s use cases discussion: Important Data: Intuition, regulation, data collection, maturity of products, important product metrices, important risk/growth metrices and other metrices, Huristics/rule based strategies during product lunch, needs of ML at different stage of customer journy. Alternative to ML model?, How to design and solve different use cases using statistical model/ML model. Monitoring: Model, Risk, Product/Business metrices.