Shubin L
Data Scientist Quant Researcher
United States
Summary
👤
Senior🎓
Top SchoolShubin L is a data scientist and quantitative researcher with 11 years of experience applying machine learning, big data, and quantitative techniques to financial markets. He has held data science and quant roles at JPMorgan, KCG (now Virtu), and since 2017 at Third Point, bringing institutional trading and hedge fund perspectives to model development and research. Trained at UC Berkeley in applied mathematics and operations research, he blends rigorous optimization and statistical foundations with practical deployment for trading strategies and risk analytics. Known for translating complex data into actionable signals, he pairs production-minded engineering with a researcher's curiosity for novel feature engineering and model robustness.
11 years of coding experience
3 years of employment as a software developer
Bachelor, Applied Mathematics, Operations Research and Management Science, Bachelor, Applied Mathematics, Operations Research and Management Science at University of California, Berkeley
Github Skills (25)
gradient8
xgboost8
portable8
dataflow7
spark7
java7
scala7
distributed-systems7
machine-learning7
scalable7
python7
boosting6
dask6
gbm6
hadoop5
Programming languages (2)
Github contributions (4)
lishubin/testRstudio
Mar 2015 - Mar 2015
Contributions:3 pushes, 1 branch in 1 day
Laurae2/Bosch
Sep 2016 - Nov 2016
Contributions:67 commits in 1 month
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