Yi-lung Tsai
Trading Risk Analyst at CBCX
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
1 year of employment as a software developer
Master of Science in Computational Finance, Master of Science in Computational Finance at King's College LondonBachelor of Science in Quantitative Finance, Bachelor of Science in Quantitative Finance at National Tsing Hua University
Chinese, English, Japanese
Github Skills (42)
matching10
collaborative-filtering10
advertising10
python9
action-recognition9
linear-programming8
optimization8
deep-learning8
machine-learning8
operations-research8
combinatorial-optimization8
pytorch8
pose-detection7
object-detection6
android6
Programming languages (4)
Github contributions (5)
YLTsai0609/pandas_101
Jul 2019 - Apr 2022
Contributions:53 commits, 57 pushes, 1 branch in 2 years 9 months
YLTsai0609/Kaggle-kkbox-churn-prediction-top5-percentage
Sep 2018 - Sep 2019
Contributions:53 commits, 39 pushes, 1 branch in 1 year
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