The Model Risk Management Canada conference is a leading industry event in Toronto where financial institutions, regulators, risk professionals, data scientists and model‑governance experts gather to address the growing challenges of model risk in the age of AI
The conference explores how the rapid adoption of AI and machine‑learning models — including complex statistical tools and emerging large‑scale AI/ML systems — is transforming risk frameworks and regulatory compliance.
Participants dive into advanced sessions on model validation, AI‑driven risk assessment, data integrity, interpretability and explainability of AI models, and governance under evolving regulations such as OSFI E-23.
Through keynote talks, case studies, panel discussions and peer exchange, the conference offers actionable frameworks for safely deploying AI/ML models, managing bias and risk, and ensuring robust documentation and oversight across all lines of defense.
Model Risk Management Canada is essential for banks, insurers, fintechs, quantitative analysts, compliance officers — anyone responsible for developing, validating or governing predictive models — who want to stay ahead in an era where AI reshapes financial modeling, risk assessment and regulatory compliance.
