Which works better for building credit risk models: using AI and machine learning or using traditional scorecards?

The Federal Housing Finance Agency’s interim “lender choice” policy introduces a dangerous precedent that increases adverse selection risk that will raise prices for consumers. 

An analysis by FICO data scientists has found that FICO Score 10T significantly outperforms VantageScore 4.0 in mortgage origination predictive power. 

Credit card data reveals many Canadians are struggling to pay off their monthly balances

Call for analytics and digital transformation champions!

Using FICO® Auto Score 10, Octane responsibly expands credit access and grows recreational financing by 36%.

How does progress in artificial intelligence stack up to the FICO credit score model?

From 'I wish I knew' to 'I’m so glad I know': empowering consumers through financial literacy

Credit union lenders need to be mindful of balancing opportunity and risk with their credit decisions

New reporting of student loan delinquencies among key drivers of the downward shift of credit scores

How to improve customer acquisition, experience, and lifetime value with a personalized, 360-degree customer view

Next Best Actions / Next Best Offers balance the customer's interests and needs with your organization's business objectives, using mathematical optimization

Here's how technology from the banking space can help telcos compete with aggressively competitive sales and retention tactics

How using FICO’s Innovation Lab can help future-proof for evolving economic conditions and credit risk decisions