About
Skills
Projects
Contact
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.
Case Study:
Systematic Price-Only Equity Selection
— An interactive research deck covering price-only equity selection, feature engineering, LSTM ranking, backtesting, and portfolio construction.