There is an increasing influence of machine learning in business applications, with many solutions already implemented and many more being explored. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are...

An array of developments impacting the financial services industry, such as increasing complexity, interconnectedness, third party dependencies and digitalization, means operational resilience will remain a significant area of concern for policy makers, investors and customers. The purpose of...

Risk analysis and scenario testing are two of the core activities carried out by economists at central banks. With the increasing adoption of machine learning to enhance decision-support systems, and the amount of collected data spiking, institutions provide countless use-cases for the...