Jay S

Associate

Hong Kong Island, Hong Kong, China
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Summary

👤
Senior
🎓
Top School
Jay S is an associate with 9 years of experience blending quantitative research, risk management and practical trading execution from Hong Kong. He holds an MSc in Risk Management & Financial Engineering from Imperial College and a computer engineering background from HKUST with an exchange at UC Berkeley, which explains his comfort across both quantitative modeling and software-driven workflows. At Qube Research he built factor and sentiment-driven strategies for A50/CSI300, performed event studies, and handled vendor data cleaning and backtesting, skills he now applies at Topwater Capital. He is equally at home constructing classic risk factors like SMB/HML and experimenting with momentum decay, benchmark choices and trading-stat analytics (PNL, Sortino). Interested in roles spanning risk, quant and sales, he brings a rare mix of frontline strategy implementation and cross-functional communication with data vendors and portfolio teams. Notably, his profile reflects hands-on quant engineering rather than pure research—turning models into tradable, auditable strategies.
code9 years of coding experience
job1 year of employment as a software developer
bookMaster of Science - MS, Risk Management & Financial Engineering, Master of Science - MS, Risk Management & Financial Engineering at Imperial Business School
bookExchange, Computer Software Engineering, Exchange, Computer Software Engineering at University of California, Berkeley
bookHong Kong University of Science and Technology (HKUST)
languagesChinese, English, Chinese, Spanish, fuzhou dialect
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Github Skills (5)

openai-gym7
algorithms6
python6
reinforcement-learning5
tensorflow5

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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JaySiu/E-Wallet

Jun 2017 - Nov 2017

Contributions:4 commits, 2 pushes, 1 branch in 4 months
JaySiu/Datong

Jun 2017 - Aug 2017

Contributions:3 releases, 57 pushes, 4 branches in 1 month
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