Model Risk Management: Regulatory landscape, industry challenges and moving

Following the global financial crisis, high profile failures stemming from the inappropriate use of models and the more recent advancements in machine learning, model risk has seen increased regulatory scrutiny. This webinar will provide an overview of model risk management within financial institutions, focusing on the evolving regulatory global landscape in the US (SR-11-7), Canada (OSFI E-23). UK (SS 1/23), Europe (EGIM) and the UAE (MMS/MMG).

Furthermore, the key components of a robust model risk management framework will be discussed, namely the model lifecycle, infrastructure, governance, monitoring and validation. Case studies covering model used in different domains will be discussed such as credit risk, market risk, machine learning and artificial intelligence. Industry best practice will be discussed, including the way forward to financial institutions.