Explainable Machine Learning for Probability of Default Calculations
How the FICO Platform can enable explainable machine learning models for more effective PD calculations
How Transaction Analytics Transform Lending Speed and Results
Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending
The Rise of Money Mules in The Philippines
Banks need to fight back with advanced analytics as COVID-19 helps fuel financial crime
Improving IRB and RWA Calculations with Machine Learning
Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.
Does the EU Framework for Responsible AI Go Far Enough?
Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability
FICO Survey: APAC Banks Will Use AI To Stop More Money Laundering
Many banks currently experience significant struggles modifying their existing rules-based anti-money laundering (AML) compliance system
Tracking Credit Risk in a Challenging Economy - South Africa
Using FICO Scores for account management can help lenders identify which borrowers have increased risk
Why Account Management Scores Matter – in Russia and Beyond
In this post, I will share analysis that shows why using account management scores in addition to account origination scores is important.
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