Weizhi Liu
Research Analyst at Cubist Systematic Strategies
Hong Kong Island, Hong Kong, China
Summary
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Senior🎓
Top SchoolWeizhi Liu is a Research Analyst with 12 years of quantitative research experience, currently building systematic strategies at Cubist Systematic Strategies from a PhD background in simulation optimization. He has a strong track record designing and implementing statistical and machine‑learning driven trading systems across equities, FX, rates and commodities, including top-performing WorldQuant strategies and medium-to-low frequency global macro products. His academic work at NUS translated into practical savings and throughput gains—automated stowage planning for CMA CGM and routing improvements for FedEx—showing a rare ability to convert simulation research into multi-million dollar operational impact. Comfortable across Python, Matlab and large-scale data stacks, he excels at extracting signals from low signal-to-noise data and adapting models as markets evolve to deliver high risk-adjusted returns with low correlation. Based in Hong Kong, he blends academic rigor with trading instincts and a pragmatic engineering focus on rapid hypothesis testing and portfolio construction.
12 years of coding experience
3 years of employment as a software developer
Bachelor's Degree, Financial Engineering, Bachelor's Degree, Financial Engineering at Nanjing UniversityDoctor of Philosophy (Ph.D.), Industrial System Engineering and Management, Doctor of Philosophy (Ph.D.), Industrial System Engineering and Management at National University of Singapore
Chinese, English
Github Skills (19)
reinforcement-learning9
gymnasium9
q-learning9
machine-learning8
deep-learning7
pane4
hexo2
sphinx2
python2
editing2
python-bindings2
latex2
bootstrap-theme1
css1
javascript1
Programming languages (3)
Github contributions (5)
Greenwicher/BiblioPy
Apr 2014 - May 2014
Contributions:5 commits in 1 month
Greenwicher/wiki
Feb 2016 - Mar 2018
Contributions:267 pushes, 3 branches in 2 years 1 month
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