Dan Su

Dan Su is a Quant Strategist at CORECOMMODITY MANAGEMENT, LLC in New York, NY, where he has served since August 2011. In this role, he specializes in quantitative research and model development, focusing on commodity markets and developing systematic investment strategies for enhanced commodity products. His work supports the firm's efforts to generate outperformance relative to commodity benchmark indices by leveraging advanced statistical and machine learning techniques.

Dan's investment coverage encompasses the full spectrum of commodity sectors, with a particular expertise in energy commodities, as evidenced by his prior positions. Before joining CoreCommodity Management, he was employed as a Quant on the Commodity Energy team at Scotia Capital and as a Quantitative Risk Analyst at RBS Sempra Commodities, where he focused on risk modeling and pricing for energy derivative markets.

He holds a Doctor of Philosophy in Mechanical Engineering from the University of Delaware, a Master of Science in Finance from Carnegie Mellon University, and a degree from Shanghai Jiao Tong University. Dan combines deep technical and analytical expertise with broad industry experience, contributing significantly to quantitative commodity investment processes within the institutional investment management sector.