Insights

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.

The Central Bank of Ireland (‘CBI’) has recently issued its latest Anti-Money Laundering Bulletin, focussing on the Virtual Asset Service Provider (‘VASP’) sector. In this bulletin, the CBI has provided its observations on a number of significant and widespread deficiencies across authorisation applications received from VASPs where roughly 90% of all applications are not meeting the required standard.

While there has been much discussion of sustainability and ESG (Environmental, Social, Governance) factors in relation to the banking sector in recent times, the reality is that much if not all regulatory instruments to date have focused on a subsection of ‘E’; climate change. Several factors have contributed to this including its actual and predicted impacts, political and social momentum, as well as a growing body of research that facilitates quantification of the associated risks

Grant Thornton’s headline views of the new EBA Guidelines on Loan Origination and Monitoring are summarised in this document. In addition, we have set out the key requirements, expected impact and associated timelines that Banks should focus on, including potential next steps.