2nd Edition Model Risk Management Canada 2026

Navigate the evolving regulatory landscape, including E-23, AI/ML integration, and practical model governance. In this context, industry leaders will share real-world challenges in validating complex and vendor models, as well as coordinating risk across the lines of defense and managing the expanding scope of the model inventory. Building on these insights through panels, keynotes, and hands-on workshops, attendees will leave with actionable strategies to enhance oversight, streamline processes, and build resilient, futureready model risk practices, all grounded in practical experience and lessons learned. "Artificial Intelligence" "Machine Learning" " Finance" "C-Level"