Wenbo Zhang

Investment Researcher, Systematic Global Equity

New York, New York, United States
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Summary

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Senior
🎓
Top School
Wenbo Zhang is an investment researcher with 10 years of quantitative finance experience, currently leading systematic global equity signal research and portfolio construction at QMA in New York. He blends rigorous mathematical modeling and stochastic analysis with practical implementation skills—C++, Python, R—and experience in transaction cost modeling, alternative data, and China A onshore strategies. Prior roles at PGIM, Morgan Stanley and State Street honed his macro and multi-asset research, client advisory and rates/FX valuation expertise. Trained in math, financial engineering and statistics, he is comfortable moving models from Monte Carlo and finite-difference frameworks into production on Linux. Notably, he combines deep option-theory and simulation experience with a hands-on approach to risk exposure analysis and bottom-up stock selection.
code10 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science - BS, Mathematics; Finance, Bachelor of Science - BS, Mathematics; Finance at Wuhan University
bookMaster of Science (MS), Financial Engineering, Master of Science (MS), Financial Engineering at Baruch College
bookStatistics and Operations Research, Statistics and Operations Research at University of North Carolina at Chapel Hill
languagesEnglish, Chinese
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Github Skills (52)

stock10
stock-data10
futures10
financial-data10
sec10
yahoo-finance10
finance10
economic-data10
economics10
datasets10
bond10
api10
currency10
yahoo10
tushare10

Programming languages (4)

C++JavaScriptJupyter NotebookPython

Github contributions (5)

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ericwbzhang/finvizfinance

Nov 2021 - Jan 2025

Contributions:42 pushes, 24 branches in 3 years 2 months
python-librarypythonfinvizpython3pandas
ericwbzhang/Vol_prediction

Oct 2016 - May 2017

Contributions:5 commits, 4 pushes, 1 branch in 6 months
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Wenbo Zhang - Investment Researcher, Systematic Global Equity