Summary
Kailan Shang is a director-level actuary and data scientist in Kitchener with nine years of professional experience blending predictive modeling, risk management, and strategic consulting. He has led analytics and product efforts at Aon and ReservePrism, where he built predictive platforms to extract patterns from real claims data beyond simulation approaches. As a former managing director of a strategy and BI consultancy, he pairs hands-on quantitative skills with business strategy and product thinking. An award-winning researcher and entrepreneur, Kailan also contributes to the AI and programming side of actuarial science, applying modern modeling techniques to pricing and reserving problems. His background—MA in Economics and early international actuarial experience—gives him a rare mix of rigorous economics training and practical industry delivery.
9 years of coding experience
14 years of employment as a software developer
BA, Economics, BA, Economics at Fudan University
MA, Economics, MA, Economics at York University
Chinese, English