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, Digital Media and PR Marketing Manager at riak@marcusevanscy.com or visit: https://shorturl.at/dmHkw
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