The Marcus Evans 3rd Edition Model Risk Management, Canada conference will explore practical approaches to completing implementation, aligning cross-border requirements, and enhancing governance and accountability. Through case studies and peer discussions, attendees will examine model classification, inventory management, validation of AI and third-party models, and the challenges of climate risk modelling. The programme will also address data quality, oversight across the three lines of defense, and building sustainable internal capabilities to support effective, risk-based model management.
Topics Covered:
- Embed E-23 requirements into model risk management practices and strengthen supervisory readiness ahead of the May 2027 deadline
- Assess the model risk implications of Agentic AI across governance, oversight and decision-making
- Enhance model validation approaches to address evolving model complexity and ensure robust oversight
- Define and classify AI systems, AI and ML models, and legacy models to ensure proportionate governance
- Embed AI model risk governance within enterprise risk management, with clear accountability from the board to the model owner
- Rationalize growing model inventories by identifying obsolete, redundant and out-of-scope models
Best Practices and Case Studies from:
- Rajwinder Sachdeva, Senior Vice President, Head of Model Governance, Northern Trust
- Vitor Magalhaes Silva, Chief Advisor – Model Governance & AI Risk, Desjardins
- Parisa Lak, Director AI Model Risk Management, Manulife
- Nish Verma, Head of Model Risk Governance, ATB Financial
- Qiaochu Wang, Senior Director, Model Governance and Operational Risk, CIBC
- Jane Zhong, Director, Model Risk Audit, Scotiabank
Special discounts available to GRC members! For more information please contact: Stefanos Ioannou, Digital Media and PR Executive at stefanosi@marcusevanscy.com or visit: https://tinyurl.com/49z5yd24
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