W Z

Quantitative Researcher

Beijing, China
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Summary

👤
Senior
🎓
Top School
W Z is a quantitative researcher with eight years of experience developing systematic strategies and portfolio solutions across hedge funds and asset managers in Beijing. Proficient in C, C++, Python and Matlab, he pairs strong quantitative modeling with practical implementation skills and familiarity with SQL, R and Mathematica. His career spans roles from WorldQuant consultant to portfolio management at Steinmetz and current research at Kendall Square Capital, with hands-on internships in derivatives and crypto quant research. A Nankai-trained mathematical finance specialist who studied at Haas and is completing a master in AI at Peking University, he blends finance domain expertise with emerging AI techniques. Notably, he co-founded NKQuant early in his career, signaling entrepreneurial drive alongside institutional experience.
code8 years of coding experience
job4 years of employment as a software developer
bookmaster of engineering management, 人工智能, master of engineering management, 人工智能 at 北大
bookExchange student of Haas Business School, Finance, 3.5, Exchange student of Haas Business School, Finance, 3.5 at University of California, Berkeley
bookMathematical finance and actuarial, 5.0, Mathematical finance and actuarial, 5.0 at Nankai University
bookTrainee, Finance, Trainee, Finance at Hezhonghuifu
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Github Skills (35)

volatility8
backtesting-trading-strategies7
python6
algorithmic-trading5
react5
quantitative-finance5
redux5
backtesting5
data-history5
snippet5
clash4
electron4
windows4
coinmarketcap4
electron-react4

Programming languages (3)

JavaJavaScriptPython

Github contributions (5)

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nkzhengwt/Spyder_cta

Apr 2018 - Aug 2019

Quantitative strategy
Contributions:49 commits, 45 pushes, 1 branch in 1 year 4 months
Contributions:28 commits, 24 pushes, 1 branch in 1 year 3 months
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W Z - Quantitative Researcher