How to Supercharge your Credit Risk Model Validation

For any financial services organization, validating credit risk models is paramount. However, validating the Machine Learning models built by your data science teams is often a slow, tedious, and laborious process. Join dotData’s Stuart Kozola and former Chief Risk Officer Todd Manke as they walk through the challenges of data extraction, the pain of building equivalent models for validation, and strategies you can employ to do it all without the technical know-how and depth of resources of your data science team.