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 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

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

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

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

Alarmingly, from RFPs we’ve seen at FICO, many banks are creating systems that will either be non-compliant with SCA or will create an unacceptable customer experience

Fraud communications and other interactions are increasingly seen as a vital part of the customer experience.