Pavel Bachurin

Pavel Bachurin is a Quantitative Research and Trading professional at Capital Fund Management (CFM) in New York, where he focuses on developing and implementing systematic trading strategies. His key responsibilities include leveraging advanced mathematical models and data analysis to drive investment decisions, primarily within the context of quantitative, systematic hedge fund management.

Bachurin's expertise spans equities, derivatives, and alternative beta, with a particular emphasis on applying machine learning and data science techniques to financial markets—aligning with CFM's core strengths in systematic trading and alternative investments. He has previously held notable roles such as Strategist at Blueshift Asset Management and Quantitative Analyst at Tradeworx, where he contributed to research and strategy development for multiple asset classes.

He holds a Ph.D. in Mathematics from Princeton University and a BS in Mathematics and Applied Mathematics from Lomonosov Moscow State University. Bachurin is recognized for his rigorous quantitative approach and has been instrumental in advancing the use of data-driven methodologies across the investment management sector.