David Magnollay
About David Magnollay
David Magnollay is a quantitative trader specializing in algorithmic trading strategies, particularly in delta one products. He has a strong academic background with degrees in Mathematics and Computational Finance from Carnegie Mellon University and currently works at Old Mission Capital LLC in the Greater New York City Area.
Work at Old Mission Capital
David Magnollay has been employed at Old Mission Capital LLC as a Quantitative Trader since 2019. In this role, he specializes in the management of algorithmic trading strategies, particularly focusing on delta one products. His position is based in the Greater New York City Area, where he applies his expertise to optimize trading strategies for domestic ETFs.
Education and Expertise
David Magnollay holds a Bachelor of Science degree in Mathematics from Carnegie Mellon University. He furthered his education at the Tepper School of Business at Carnegie Mellon University, where he earned a Master's degree in Computational Finance from 2014 to 2015. His educational background supports his expertise in optimizing trading strategies and utilizing programming languages such as Python, R, and C++ for data analysis.
Background in Trading
Before joining Old Mission Capital, David Magnollay worked at several financial institutions. He served as a Summer Associate in Convertible Trading at BNP Paribas for two months in 2015. Following this, he worked as a Quantitative Trader at Volant Trading from 2016 to 2019, accumulating three years of experience in the field. Additionally, he gained early experience as a Summer Intern at Amberstone Capital in 2013.
Technical Skills
David Magnollay possesses strong technical skills in programming and data analysis. He utilizes Python, R, and C++ to analyze tick data directly from exchanges. His proficiency in these programming languages enhances his ability to develop and optimize algorithmic trading strategies effectively.