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How to Get Better Results from Your ‘Lift and Shift’ Project

Moving to a ‘Lift, Shift and Enhance’ strategy can deliver substantial growth and future-proof your operation

Are Student Loan Holders at Risk as Deferments Expire?

Factors driving credit score decreases observed among student loan holders involved behaviors such as delinquency on credit products including bankcards, auto loans, and mortgages

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

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.

Simulated FICO Score Impacts from Balance Aggregation due to Mortgage Forbearance

Research shows balance aggregation results in modest impact to FICO® Scores

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

Simulated FICO Score Impacts due to Mortgage Forbearance

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

Truncation Bias in Score Validations: When Rejected Applications Strike Back

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

Data-Driven Strategies: Looking Beyond the Commonplace

In this post, I explore the benefits of applying data-driven techniques to strategy design.

How to Rate Trade Credit Risk – Without Much Data

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