Jesse Zhang is a commodities trader at Goldman Sachs with four years of quantitative experience blending mathematical rigor and market intuition across European gas and power options. Trained in Mathematics and Statistics at Imperial College London and holder of an MRes connection to humanoid robotics, he brings a research-minded approach to pricing and risk problems. At Goldman Sachs he progressed from Quantitative Strat roles in Asset Management to trading, developing models and strategies that bridge systematic analytics and real-time market decisions. Colleagues value his ability to translate complex stochastic models into actionable trade ideas, and his background in robotics research gives him an uncommon edge in algorithmic thinking and automation.
4 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Mathematics and Statistics, Bachelor of Science - BS Mathematics and Statistics at Imperial College London
Contributions:2360 pushes, 5 branches, 1 issue in 1 year 10 months
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