Summary
Sean Lee is a quantitative researcher and PhD candidate in economics at Harvard with nine years of quantitative experience, now applying his mix of empirical methods, applied theory, and computational simulation at Squarepoint in New York. His work sits at the intersection of finance and macroeconomics, translating rigorous academic models into research-driven trading and risk insights. Trained at Wharton and Harvard, he blends deep theoretical grounding with practical data-driven implementation and large-scale simulation. Known for a wry, humanizing perspective—“We're all floundering. All the time.”—he brings intellectual humility to complex, high-stakes problems and prioritizes clarity in messy, real-world data.
9 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Harvard University
Bachelor of Science - BS, Bachelor of Science - BS at University of Pennsylvania - The Wharton School
Bachelor of Arts - BA, Bachelor of Arts - BA at University of Pennsylvania
English, Korean