Xibai Wang

Xibai Wang is a Quantitative Researcher at Eisler Capital in New York, where he specializes in quantitative analysis and data-driven strategy development for the firm's multi-strategy hedge fund operations. His work centers on applying advanced statistical methods, machine learning, and algorithmic modeling to identify investment opportunities and manage risk across a range of asset classes, with a particular emphasis on equities and systematic strategies.

Prior to joining Eisler Capital, Xibai gained extensive experience as a Quantitative Researcher at Citadel and BlackRock, where he contributed to portfolio analytics and strategy research, focusing on equity and multi-asset investment solutions. His career has consistently involved developing and optimizing quantitative models to support trading and investment decisions within some of the world's leading asset management firms.

Xibai holds a Master in Finance from Princeton University and a Bachelor of Science in Statistics from the University of Chicago, underscoring his deep expertise in quantitative finance and data science. He is recognized for his contributions in systematic strategy development and his ability to leverage cutting-edge quantitative techniques within institutional investment environments.