Yi-lung Tsai
Quantitative Researcher
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolYi-lung Tsai is a quantitative researcher based in London with eight years of experience bridging computational finance and machine learning. Trained at King's College London and National Tsing Hua University, he specializes in equity derivatives—particularly short-dated options, equity swaps—and ETF strategy analysis, applying Python, mathematical statistics, and derivative pricing techniques. His recent consultancy work at WorldQuant and current role at equityquant.dev reflect a focus on translating research insights into tradable models and systematic strategies. Beyond traditional quant research, he brings machine learning engineering instincts to feature engineering and model production, making him adept at moving prototypes into robust pipelines. An uncommon strength is his cross-domain exposure from assurance and strategic planning internships, which sharpens his risk-aware, business-aligned approach to model development.
8 years of coding experience
Bachelor of Science in Quantitative Finance, Bachelor of Science in Quantitative Finance at 國立清華大學Master of Science in Computational Finance, Master of Science in Computational Finance at King's College London
Chinese, English, Japanese, Spanish
Github Skills (69)
matching10
collaborative-filtering10
operations-research9
python9
optimization9
linear-programming9
advertising9
skeleton8
vehicle-routing-problem8
gurobi8
edgetpu8
action-recognition8
pytorch8
simulated-annealing8
constraint-programming8
Programming languages (4)
Github contributions (5)
YLTsai0609/Kaggle-Titanic-Top3-percent
Jun 2018 - Aug 2019
Contributions:16 commits, 13 pushes, 1 branch in 1 year 1 month
YLTsai0609/pandas_101
Jul 2019 - Apr 2022
Contributions:53 commits, 57 pushes, 1 branch in 2 years 9 months
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