Tony Berkman
About Tony Berkman
Tony Berkman is a Managing Director at Two Sigma, where he has worked since 2018. He has over 30 years of experience in finance and data science, focusing on empirical data analysis and investment strategies.
Work at Two Sigma
Tony Berkman has held the position of Managing Director at Two Sigma since 2018. In this role, he focuses on leveraging his extensive experience in finance and data science. He also serves as an Entrepreneur In Residence at the firm, where he has been contributing for six years. His work at Two Sigma is based in New York City, where he applies his expertise in analyzing large datasets to inform investment strategies.
Education and Expertise
Tony Berkman has a robust educational background in mathematics and finance. He earned a Bachelor of Science in Applied Math and Computer Science from Carnegie Mellon University, where he studied from 1984 to 1988. He furthered his education by obtaining a Master of Science in Computational Finance from the Tepper School of Business at Carnegie Mellon University, completing his studies from 1996 to 1998. His academic foundation supports his 30 years of experience in finance and data science.
Previous Experience at ITG
Before joining Two Sigma, Tony Berkman served as CEO of Investment Research at Investment Technology Group (ITG) from 2010 to 2013. During his tenure, he was responsible for overseeing research initiatives within the organization. His role at ITG contributed to his overall expertise in the finance sector, particularly in investment research.
Advisory Role at Carnegie Mellon University
Since 2021, Tony Berkman has been involved with Carnegie Mellon University as a member of the Advisory Board for the Master of Science in Computational Finance program. In this capacity, he provides insights and guidance based on his extensive experience in finance and data science, contributing to the development of future professionals in the field.
Background and Interests
Tony Berkman has a strong passion for programming and model building. He specializes in developing both parametric and non-parametric models to test and implement investment ideas. His interests align with his professional focus on analyzing large datasets, which he has cultivated over three decades in the finance industry.