Waiting for your regulator to require improved customer communications on scams places you at risk of distinct competitive disadvantage vis-à-vis your competitors

Defining and understanding different scam typologies yields results when identifying and preventing authorized push payment fraud

Latin America needs to get ready for the consequences of the growth of real-time payments

As regulators around the world roll out new rules to deal with APP fraud, these four tips can help payment service providers adapt to the new fraud prevention regimes

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