Patrick Di Rita

Patrick Di Rita is a Quantitative Trading Analyst at Old Mission, a prominent quantitative market-making firm based in Chicago, IL. In this role, he develops and implements algorithmic trading models using advanced statistical and computational techniques to optimize trading strategies and assess risk. His focus is particularly strong in the market making and trading of exchange-traded assets, such as ETFs and various securities across global exchanges.

Prior to joining Old Mission, Patrick held positions at Moore Capital Management, first as a Data Analysis Infrastructure Engineer and later as a Quantitative Developer, gaining hands-on experience in designing data-driven trading tools and building infrastructure for systematic trading. His expertise extends to high-performance computing systems and quantitative modeling, making him well-versed in strategies for pricing and trading both liquid and illiquid assets.

Patrick holds both a Master of Science and Bachelor of Science in Computer Science from Washington University in St. Louis, where he developed a solid foundation in machine learning, statistical analysis, and large-data system engineering. At Old Mission, his achievements include contributing to proprietary models supporting real-time capital allocation and risk management, directly impacting the firm’s ability to provide liquidity and innovate in quantitative finance.