Ojus Garg

Ojus Garg is a Quantitative Trader at Old Mission, based in California, where he specializes in leveraging advanced quantitative strategies and algorithmic models to enhance trading efficacy across global markets. In his current role, Garg focuses on high-frequency and systematic trading within equities and derivatives, employing data-driven approaches to identify pricing inefficiencies and optimize trading execution.

Prior to joining Old Mission, Garg gained experience as a Quantitative Trader at Optiver, where he further developed expertise in options market making and institutional trading strategies. Earlier, he worked as a Software Engineer at Capital One, focusing on building scalable financial technology solutions with an emphasis on risk analytics and automation.

Garg holds a Bachelor of Science in Electrical Engineering and Computer Science from the University of California, Berkeley, providing him with a solid foundation in mathematics, programming, and statistical analysis. His technical acumen and hands-on experience in both trading and technology underline his contributions to quantitative research, model development, and the integration of advanced automated systems in the securities and derivatives markets.