Liam Shaw

Liam Shaw is a Research Analyst at Eisler Capital in New York, specializing in quantitative research and multi-asset investment strategies. In his current role, he focuses on the analysis and development of systematic trading models across equities and derivatives, leveraging advanced statistical and machine learning techniques to identify alpha-generating opportunities.

Prior to joining Eisler Capital in 2024, Liam worked as a Quantitative Researcher at Wolverine Trading, where he contributed to strategy research, risk management, and market-making activities in equity, futures, and options trading. He also served as a Data Science Intern at the same firm, gaining hands-on experience in applying data analytics to trading systems.

Liam holds a degree from the University of California, Berkeley. He is recognized for his expertise in quantitative investment, financial engineering, and data science, and is experienced in analyzing large-scale financial data sets to optimize trading strategies in highly liquid markets such as equities and derivatives.