Applying Gender-Intentional Credit Scoring
Virtual Workshop
Evidence shows women often demonstrate higher loan repayment rates than men, suggesting they are lower-risk borrowers and yet face higher barriers to loan approval. This presents an opportunity to refine lending models for more accurate risk assessment and increased financing to women.
CGAP’s latest research shows that, under certain conditions, employing gender-intentional credit scoring can help lenders more accurately measure portfolio risk and not only help reduce the gender gap in access to credit, and allow providers to increase their portfolios or reduce their losses. This virtual workshop was designed for lending service providers, credit risk managers, data scientists, and others working on credit scoring.
In this two-part session, we covered:
- Part 1: Presentation on gender-intentional techniques and implementation strategies for credit scoring
- Part 2: Walk-through of how to implement the analyses using Excel, R, and Python