Kai Wang
Quantitative Researcher
Singapore
Summary
👤
Senior🎓
Top SchoolKai Wang is a quantitative researcher with 10 years of experience applying AI and machine learning to generate trading alpha across commodity and financial markets, currently focused on the Chinese A-share market. He combines a strong quantitative pedigree—PhD-level training in theoretical biophysics and a BS in physics—with hands-on engineering in Python, C# and C++, bridging research and production trading systems. His background spans major banks and trading firms (Goldman Sachs, ANZ, Noble Group) and entrepreneurial leadership as co-founder and chief scientist of a stealth startup building deep-learning weather forecasts, gas supply/demand and stochastic control models. Kai’s work uniquely blends stochastic control, reinforcement learning for operational optimization (e.g., LNG routing) and pragmatic quant engineering for CVA/FVA and auto-trading systems, making him adept at turning complex models into deployable trading strategies. Based in Singapore, he brings both institutional risk-modeling experience and startup-driven innovation to quant trading challenges.
10 years of coding experience
4 years of employment as a software developer
University of California, San DiegoBS, Physics, BS, Physics at Peking University
Chinese, English
Github Skills (2)
python2
trading2
Programming languages (1)
Github contributions (5)
kwangphys/deep_learning_resources
Jan 2019 - Aug 2022
Contributions:102 commits, 94 pushes, 1 branch in 3 years 7 months
kwangphys/qmtrader
Jun 2018 - Dec 2019
Quantmentalist Trader
Contributions:2 PRs, 11 pushes, 2 branches in 1 year 6 months
pythontradertrading
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