Analyst firm gives SAS its top rating for 11 th straight year, including top marks among all vendors for model governance solutions SAS received the highest ratings among all vendors for ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

The regulatory environment continues to increase in complexity as the EBA and the PRA provide new guidelines and updates to ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Having spent over 2 decades in banking and financial services, I have seen how financial models evolve, but never at the speed seen today. AI is reshaping credit risk assessment, offering a more ...

PARSIPPANY, N.J.--(BUSINESS WIRE)--Only 18 percent of fintechs and financial services organizations believe their credit risk models are accurate at least 75 percent of the time. The finding is ...

In the past few years, there have been several developments in the field of modeling the credit risk in banks’ commercial loan portfolios. Credit risk is essentially the possibility that a bank’s loan ...

This article was written by Jerome Barkate, Nakul Nair, Zane Van Dusen, and Scott Coulter. We are witnessing a remarkable period in the credit markets. Following years of accommodative monetary ...

Auto finance organizations are operating in an increasingly complex environment shaped by changing customer expectations, rising fraud risk and tighter regulatory oversight. In this landscape, success ...