There is a critical need for financial institutions to enhance model risk management amidst evolving regulatory pressures, particularly with OSFI E-23. Delegates from banks, insurance companies, and investment firms are facing significant challenges, including adapting to new regulations, effectively quantifying and managing climate risks, and integrating AI and machine learning into their risk frameworks. Also, as exogenous challenges like climate-related financial risks intensify, institutions must develop robust strategies to ensure compliance and strengthen governance.

The GFMI Model Risk Management, Canada conference taking place in Toronto, between February 10-12, 2025 will enable attendees to confront the pressing challenges of model risk management by leveraging cutting-edge AI technologies while navigating the evolving landscape of OSFI E-23 regulatory requirements. With expert sessions from leaders in financial institutions and regulatory bodies this conference will foster dynamic discussions on key topics such as data integrity, model interpretability, and the application of cutting-edge technologies in compliance frameworks. Participate in stimulating conversations around transformative strategies, the impact of regulatory changes on model performance, and the importance of robust documentation practices. This is your opportunity to network with thought leaders and shape the future of model risk management in Canada. Don't miss out on this chance to enhance your organization’s approach to navigating the complexities of regulatory compliance and AI advancements.

Key Topics Include:

• Streamline E-23 compliance: Optimize processes and fortify governance

• Model risk, automation, and AI applications: A model builder’s perspective

• Ensure effective use of Generative AI in model risk management

• Navigate bias and interpretability in AI models to ensure fairness and trust

• Strengthen data integrity in model risk management

• Navigate the economics of model validation to drive cost efficiency

Best Practices and Case Studies from:

• Satish Kumaraswami, Vice President, Global Model Risk Management, Scotiabank

• Hany Farag, Senior Director, Head of Methodology and Analytics, Capital Markets Risk Management, CIBC

• Fabian Serrato, Chief Risk Officer, Citibanamex

• Fahad Shaikh, Vice President, Data Science, Aviva

• Tiguene L.N. Nabassaga, Vice President, Model Validation,  BNP Paribas

• Adam Ennamli, Chief Risk Officer, General Bank of Canada

For more information please contact: Ria Kiayia, Senior Digital Media and PR Marketing Executive at riak@marcusevanscy.com or visit: https://shorturl.at/LIBpg