Counter Financial Crime (CFC) modelling is a relatively new field which has seen a lot of rapid progression in the past years. This rapid progression has been spurred on by the Dutch Central Bank (DNB) after it became clear that banks were insufficiently deterring...

In recent years, new regulations with respect to credit risk models were published at a fast pace. Consistency between data sources, definitions and model methodologies were important topics for a number of guidelines from the regulators. This led to an intensified relation between the...

RiskNavigator powered by PSD2 (RiskQuest & Invers) What is RiskNavigator? RiskNavigator is a risk management solution that enables credit issuers to efficiently and effectively assess loan applicants It provides credit issuers with a complete credit risk management dashboard based on real-time banking transactional data powered by PSD2 It is an integrated end-to-end solution that can be adopted...

In 2009, the Swedish Central Bank (SCB) introduced negative interest rates for the first time in history (Christophe Madaschi, 2017). The European Central Bank (ECB) followed in 2014 and introduced negative interest rates to boost the economy during the aftermath of the global economic...

The share of non-banking financing options among small and medium sized-enterprises (SMEs) in the Netherlands has increased significantly over the past years. With this increase, the importance of up-to-date and efficient customer’s risk assessments is also rising. Such risk assessments can be performed in...

With Covid-19 financial institutions are once again at the center of attention. In sharp contrast with the great recession banks are now considered part of the solution. The Corona Monitor by the Nederlandse Vereniging voor Banken (NVB) shows that 26.500 commercial clients have been...

Financial institutions cannot simply accept every application for e.g. a mortgage loan or non-life insurance product. To avoid harmful commitments for both bank and client, acceptance is based on selection criteria, often with the help of mathematical models. In these processes, discrimination should be...

Machine learning and artificial intelligence are regularly in the news: from self-driving cars to clever algorithms that detect fraudulent transactions. However, within risk modelling machine learning has yet to make an impact. This is partly due to the strict regulations these models need to...