Chun Hen

I am a detail-oriented professional with a strong foundation in corporate actions and quantitative trading research. My experience includes developing a portfolio of 30 trading strategies with a Sharpe Ratio exceeding 1.8, showcasing my ability to apply statistical models and algorithmic trading strategies effectively. I have completed intensive training in data analytics and quantitative research, equipping me with the skills necessary to extract actionable insights from raw market data.

In my role as a Quant Research Trainee at Baleana Quant Trading Firm, I built and optimized algorithmic trading models through multi-factor signal engineering. I conducted extensive forward testing and p-value analysis to mitigate overfitting risks, ensuring the robustness of my trading strategies. My technical skills include proficiency in Python, SQL, Power BI, and Excel, which I have utilized to conduct exploratory data analysis and develop custom scripts for data extraction and strategy backtesting.

Currently, I am working as an Executive in Corporate Action at iFAST Capital Sdn Bhd, where I manage corporate actions such as dividend processing and reconciliation. I collaborate with various internal teams to ensure smooth execution of workflows, further enhancing my project management and communication skills. I am passionate about leveraging data to drive decision-making and am eager to contribute my expertise to a dynamic team.