FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk

Read Paper, Majid Bazarbash

This paper provides a nontechnical overview of common machine learning algorithms used in underwriting credit. It provides a review – including strengths and weakness – of common machine learning techniques in credit underwriting, including tree-based models, support vector machines, and neural networks. The paper also considers the financial inclusion implications of machine learning, nontraditional data, and fintech. 

International Monetary Fund (May 17, 2019)