Yiyang Huang

Quantitative Research & Data Engineering

About

I am a quantitative researcher and data engineer with strong academic background in Financial Technology and hands-on experience in building trading surveillance systems, algorithmic trading strategies, and data pipelines.

Skills

Programming: Python, C++, SQL
Quantitative Finance: Portfolio Construction, Options, Risk Management
Data Engineering: ETL, Big Data Systems, Cloud Deployment
Tools: Git, Linux, Docker, Flask, Pandas, Plotly

Projects

Trading Strategies: Developed and backtested quantitative alpha signals on WorldQuant BRAIN platform.
Surveillance System: Built Python/SQL scripts for Shenzhen Stock Exchange trading monitoring.
Kaggle Competitions: Participated in Jane Street real-time market prediction and commodity forecasting challenges.

Contact

Email: yiyanghuang350@gmail.com

GitHub: github_huangyiyang

LinkedIn: linkedin_huangyiyang