Jun Yuan

Dr. Jun Yuan is a seasoned professional and recognized thought leader in financial risk management, with expertise encompassing climate risk, financial innovation analytics, and regulatory policy reform within the financial system.

He currently serves as Managing Director, Group Risk Management at the Royal Bank of Canada (RBC), where he leads risk analytics teams in Canada and the U.S. to uphold best practices in risk management. His specialties include market risk, counterparty credit risk, Comprehensive Capital Analysis and Review (CCAR) stress testing, machine learning, climate risk analytics, and more. As a pioneer in applying machine learning to financial innovation, he has employed unsupervised learning to detect anomalies in market data, natural language processing for sentiment analysis and rating prediction, and generative AI (GenAI) for model documentation.

In the field of climate risk, Dr. Yuan has played a critical role in advancing RBC’s climate analytics capabilities. He co-leads RBC’s climate scenario analysis working group, ensuring alignment with regulatory expectations from Canada’s Office of the Superintendent of Financial Institutions (OSFI). His recent work includes identifying a transmission channel from climate transition risks—such as policy changes—to micro-prudential market risk through secondary financial markets. This insight was recognized by the Canadian Bankers Association and adopted by OSFI for its Standardized Climate Scenario Exercise. Dr. Yuan also successfully defended RBC’s climate risk management strategies before the Bank of England’s Prudential Regulation Authority. In policy development, he has significantly influenced international regulatory standards under Basel IV, notably initiating and helping design the sensitivity-based approach for market risk, which is now part of the Fundamental Review of the Trading Book (FRTB) rules.

Parallel to his financial sector work, Dr. Yuan actively contributes to applied research, teaching, and community service. He has collaborated with the Bank of Canada and University of Toronto faculty on machine learning research, including studies on narrative monetary policy uncertainty using NLP and deep hedging strategies using reinforcement learning. He is co-author of the textbook Machine Learning in Business (4th Edition) and has taught for over a decade in the Rotman School of Management’s MBA, Master of Financial Risk Management (MFRM), and executive education programs. Dr. Yuan is also a sought-after speaker at global finance conferences and an advisor to senior leaders at regulatory bodies and major financial institutions.

A firm believer in public service, Dr. Yuan serves on the Board of Directors at Mackenzie Health, where he champions innovation and risk management to enhance healthcare delivery. He also sits on the Advisory Board for the Rotman MFRM program.

Dr. Yuan holds a Ph.D. in Electrical and Computer Engineering from the University of Toronto and a Master’s degree from Queen’s University.

Updated July, 2025