MicroBilt Tapped to Resell Fair Isaac's FICO Expansion Score

MINNEAPOLIS, MN – Fair Isaac Corporation, pioneer of the FICO® credit score used by most lenders to evaluate consumer credit risk, today announced that MicroBilt Corporation, an information provider that helps banks and businesses reduce risk, will become the first reseller of Fair Isaac’s FICO® Expansion™ score to the financial services industry.

FICO Expansion score taps non-traditional sources of consumer data to help lenders assess credit risk for the estimated 50 million U.S. adults who cannot receive a traditional FICO score because they have little or no credit history on file at traditional credit bureaus.

“By adding Fair Isaac’s new score to our decisioning applications, MicroBilt will help lenders confidently expand into the credit-underserved market,” said Ken Hill, president of MicroBilt. “The FICO brand is widely respected throughout the financial services industry, and we’re pleased to be the first to add Fair Isaac’s newest, innovative score to our product line.”

“MicroBilt is well positioned to help lenders and other businesses easily access the FICO Expansion score and open up the credit-underserved market,” said Lisa Nelson, vice president of Fair Isaac Credit Services, Inc. “FICO Expansion score is the only credit risk score developed for serving this population that carries the FICO reputation for quality and predictiveness. Providing access to our score through value-add resellers such as MicroBilt should accelerate lenders’ ability to bring better credit offers to millions of consumers who have little or no credit history.”

While an estimated 160 million Americans have documented credit histories adequate for calculating classic FICO credit scores, an estimated 50 million consumers do not. Lenders in the mortgage, payment card, retail, telecommunications and related industries have begun using FICO Expansion scores to better control their risk when extending credit opportunities to these consumers. Lenders also can easily integrate this score into existing decision systems.