Advanced Fair Lending Risk Analysis and Monitoring
The increased regulatory attention in recent months has substantially increased lenders’ fair lending compliance risk. The risk is further escalated by the introduction of highly sophisticated statistical analysis tools, which regulators now use to identify likely borrower characteristics and then detect patterns in lenders’ portfolios that indicate potential discriminatory outcomes, regardless of intent.
Crowe Fair Lending Analytical and Regression Engine (Crowe FLARE) helps you:
- Perform advanced statistical analysis of application and underwriting data to detect patterns that might suggest inequities relating to race, gender, age, or other criteria
- Replicate the advanced statistical techniques – including Bayesian Improved Surname Geocoding – that are now used by the Consumer Financial Protection Bureau to identify borrower characteristics