Zijun Zheng is a Consulting Associate at Charles River Associates who combines finance research with data-driven analysis to solve complex client problems. He earned a BA in Financial Economics and Statistics from the University of Toronto and an MA in Computational Social Science from the University of Chicago, anchoring his work in strong quantitative foundations. His research experience spans market volatility, fund management, and bridging academia with industry—including presenting to hedge fund managers at RiskLab and analyzing intraday option data at Booth School. He is proficient in Python, R, SQL, SAS, and STATA, with advanced skills in PyTorch and TensorFlow for large-scale data analysis and machine learning. He routinely works with finance databases such as Compustat and CRSP and applies statistical techniques like A/B testing, GMM, PCA, and CNNs. As a former teaching assistant at the University of Chicago, he also mentors others in statistics concepts and practical data interpretation, making him adept at turning complex analyses into strategic insights.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Financial Economics & Statistics, Bachelor's degree, Financial Economics & Statistics at University of Toronto
Master of Arts - MA, Computational Social Science, Master of Arts - MA, Computational Social Science at University of Chicago
Contributions:2 pushes, 1 branch in 1 year 9 months
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