Model Risk Management: Regulatory Landscape, Industry Challenges & Moving Forward 2020 | CQF Institute | 2 April 2020 | The Corn Exchange, 55 Mark Lane , London, EC3R 7NE, UK

Model risk arises from errors in the design, development and implementation of models, leading to significant economic or reputational losses for financial institutions, if left unchecked. There has been heightened scrutiny from regulators on model risk in the aftermath of the global financial crisis. Furthermore, with the advent of AI and machine learning, a multitude of modelling approaches are being used in areas such as algorithmic trading, credit scoring, traded risk management, anti money laundering and fraud detection. This has created its own set of challenges for the industry as they come to grips with how best to manage model risk in the future.

During this talk we will cover:
• What is model risk and why is it important?
• The regulatory landscape for model risk management
• The model lifecycle and model risk management framework
• Model risk management for traditional models vs. machine learning models
• The key challenges facing financial institutions

2020 Speakers

Ram Ananthapadmanban
Senior Quantitative Lead, Risk & Analytics, CRISIL