Chenmin Hou
Associate
Minhang District, United States
Summary
🤩
Rockstar🎓
Top SchoolChenmin Hou is a quantitative researcher and risk engineer with nine years of experience bridging machine learning, alternative data, and fixed income strategies across top firms including Goldman Sachs, Morgan Stanley, and HPS Investment Partners. A current UC Berkeley MFE student, Chenmin built an end-to-end ML trading pipeline at ProbQuant that delivered >40% annualized live returns and later engineered alpha-factor databases at ChengQi Capital. He combines deep technical skills—Python, Bayesian analysis, deep learning, stochastic processes—with practical production and HPC experience, having automated deep RL training to cut research time by 90%. Based in Minhang District and fluent in both academic rigor and trading-room demands, he excels at turning novel data signals into risk-aware strategies.
9 years of coding experience
3 years of employment as a software developer
学士 Electrical and Computer Engineering, 学士 Electrical and Computer Engineering at UM-SJTU Joint Institute, Shanghai Jiao Tong University硕士 Master of Financial Engineering, 硕士 Master of Financial Engineering at University of California, Berkeley, Haas School of Business其他 Visiting Student, 其他 Visiting Student at Columbia UniversityBachelor's degree Electrical and Computer Engineering, Bachelor's degree Electrical and Computer Engineering at Shanghai Jiao Tong University
Github Skills (18)
command-line-interface10
azure-cli9
cli9
azure9
command-line8
socket5
chameleon3
websocket2
socket-io2
websocket-client2
wechat-mini-program1
gcp1
google-cloud-platform1
wechat1
cloud-platform1
Programming languages (4)
Github contributions (5)
HoukChen/ROS_CA_Follow
Nov 2016 - Sep 2023
Contributions:20 pushes, 1 branch in 6 years 11 months
HoukChen/Temp
Nov 2018 - Jan 2019
Contributions:44 pushes, 1 branch in 1 month
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