Currently, female entrepreneurs are more likely to get lower premiums, higher interest rates, and increased penalties for mistakes, due to out-of-date, gender-biased lending technology and practices. One billion women remain outside the formal financial system today. A solution for this is particularly important in the present climate as emerging markets look to recover from the effects of COVID-19.

To address these issues, Women’s World Banking, in partnership with the University of Zurich, is exploring the implications of AI-based modeling and credit scoring on women’s financial inclusion. 

As part of this project, we will work with a financial services provider to develop a gender-aware algorithm for credit scoring. Our data scientists are looking for help from a credit risk analyst to help audit the usability of the scoring model for the financial services provider.