New York, New York, United States
I’m currently studying Economics and Mathematics at NYU, with a strong interest in research and financial markets. I enjoy analyzing data, understanding market dynamics, and thinking about how information and incentives shape outcomes. I’m particularly drawn to trading markets and enjoy exploring how theory and data come together in real-world market behavior.
• Developed a 2x3 MECE framework to benchmark advertising ROI against Meta; performed sensitivity analyses, identified ~70% lower ROI driven by ~50% lower AOV and systematic CPM differences, generating ~$100K in cost savings
• Enhanced stability during volatile Hong Kong equity markets by optimizing a multi-factor quantitative model across 3K+ candidate signals, improving factor-selection efficiency by 36% and increasing Sharpe ratio from 0.45 to 0.61 out-of-sample • Spearheaded mixed-asset portfolios using a dumbbell strategy and the Black-Litterman model, integrating UBS’ proprietary views and tactical asset allocation strategy to generate risk-adjusted portfolios with ~15% lower drawdowns for review • Built a factor screening pipeline leveraging rolling information-coefficient analysis and correlation pruning to identify robust alpha signals with ICs of ~±0.05; collaborated with senior portfolio managers to validate signal stability for allocation