Factors driving credit score decreases observed among student loan holders involved behaviors such as delinquency on credit products including bankcards, auto loans, and mortgages

How FICO Scoring can help companies make decisions that benefit society

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Pioneered by FICO, credit scoring has helped women worldwide get better access to credit, breaking the bias with data science

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Research shows balance aggregation results in modest impact to FICO® Scores

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

Santa's facing a number of challenges this year related to the pandemic. Can the FICO Platform help?

Analysis identified modest impacts to FICO Scores from forbearance-related potential increases in mortgage balance.

FICO works to keep credit flowing during uncertain economic times

Diverse thinking is needed to avoid introducing gender bias and other forms of bias into analytic models

Spotlighting global financial inclusion innovation at 2019 FICO World

The set-up of a score validation can greatly influence model performance results — and sometimes inflate them