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.

Azerbaijan's largest bank has started using FICO software to take an integrated approach to combating financial crime - money laundering and terrorist finance

Fraud and compliance must work together to put the customer at the heart of eKYC strategy

The availability of leaked documents such as the Paradise and Panama Papers provides an alternative source of data that can help identify suspicious organizations

The key to reducing false positives while detecting more money laundering and other financial crimes is to radically improve detection

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

Due to all the fines and scandals in 2018, I am convinced that AI will play a more important role in financial crime compliance.

To comply with tax regulations, it is a must for a bank to check customers against these lists to avoid non-compliance, a damaged reputation and the support of illegal activity.

The directives are clear for all EU entities, and the lack of compliance in the recent Baltics case has hurt the bank's share price and reputation.