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

Until now, it has been very difficult for a lender to understand the pressures on any consumer in terms of their ability to absorb more credit and pay off the required instalments, without placing unbearable stress on their finances.

Lenders are looking for new ways to connect with the estimated 3 billion people worldwide who fall outside the credit ma...