Many flagship credit scoring models are created by sampling a population that represents the spectrum of credit risk within the entire US population. This strategy can work well for lenders with a nationwide footprint. However, lenders that do business in select regions can have significant aberrations in the performance of their model if the model does not consider attributes that account for regional variations.
Change is afoot. Maybe it’s the shifting finance patterns of the Millennial generation that’s causing the fuss, or simple adjustments to consumer buying habits. Regardless, the fact is this: Changes in the way people buy cars and get them financed are impacting both dealers and lenders. These consumer-driven demands for faster, more efficient and personal transactions are causing deep waves of change throughout the entire industry.
“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.” – John Tukey
Do you wonder if your credit model could be better if it was refit? Knowing when and if to commit to the time and expense of a full model rebuild challenges many lenders. But according to defi SOLUTIONS partner Digital Matrix Systems (DMS), there is an easy solution.