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Build sustainable growth with customer-centric business models that deepen loyalty, enhance experience, and transform strategy around customer needs.

Our focus in this paper is to develop decision making models using a range of advanced machine learning techniques. We explore three different methodologies to measure the discriminatory power between good and bad borrowers using a credit card portfolio dataset. The main hypothesis is that advanced modelling techniques lead to more efficient estimates and higher discriminatory power.

Over the last few years the ECB have published a series of guidance and best practice publications in the Climate and Environmental (C&E) risk area. These publications and best industry practices indicate that while banks have made progress in incorporating climate-related risk, there is a high level of inconsistency in certain practices and also areas for improvement.

How Grant Thornton can help you understand the challenges surrounding the implementation and validation of machine learning techniques in IRB models.