Rohit is a Financial Services executive with 20+ years of leadership across banks, fintechs, and financial institutions—building and scaling consumer and SMB lending portfolios from concept to multi-billion-dollar production. Expert in direct lending, product design, underwriting, portfolio management, and collections, with deep experience leveraging data, analytics, and machine learning to drive profitable, responsible growth. Recognized for launching inclusive credit programs that expand access, improve risk-adjusted returns, and strengthen member relationships, and passionate about teaching & researching on responsible use of ML/AI in the financial service industry.
All Sessions by Rohit Rana
Practical Considerations for Use of Machine Learning Models in Banking, Rohit Rana
This session explores the application of machine learning in risk management, designed specifically for executive leadership. It examines how machine learning models can outperform traditional decisioning tools across credit decisions, account management, and collections. The discussion also addresses how leaders should govern the use of advanced models, balancing performance with transparency, and navigating regulatory and compliance considerations arising from model explainability.
