Summary
Kevin Wan is a quantitative trader based in New York with 11 years of experience and a strong academic foundation from the University of Waterloo in Computer Science and Combinatorics & Optimization. He transitioned from software engineering internships and blockchain integration work into trading at Jane Street, where he progressed from software intern to trading intern and now full-time quantitative trader. His background spans low-level stability fixes for big data systems, hedging and token transaction engineering for BitGo, and academic research on collision simulation algorithms—demonstrating a blend of rigorous math, systems thinking, and production-grade engineering. Comfortable moving between research, implementation, and market-facing trading, he brings a rare combination of formal optimization training and hands-on software delivery.
10 years of coding experience
1 year of employment as a software developer
TOPS Program, TOPS Program at Marc Garneau Collegiate Institute
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Waterloo
English, Chinese