CU2016. Using Machine Learning To Manage Risk

Machine learning is transforming credit underwriting by using advanced math and large data sets to quantify risk with more nuance and precision. More credit unions are using ML to expand their footprint and drive higher levels of automation in their lending, especially as more members seek to transact through online channels. This session will assess the use cases, benefits, regulatory concerns, and challenges of using ML, especially in the underwriting process.

Learning Objectives:

• Machine Learning And Automation
• ML And Price/Portfolio Optimization
• How ML Fits Into The Regulatory Context
• Using ML To Fight Fraud
• Using ML To Make Lending More Inclusive And Fair