Patrick Di Rita
About Patrick Di Rita
Patrick Di Rita is a Quantitative Trading Analyst based in Chicago, Illinois, with a focus on applying machine learning and artificial intelligence in finance, medicine, and mobility. He has worked at Old Mission since 2021 and has previous experience in data analysis and quantitative development.
Work at Old Mission
Patrick Di Rita has been employed at Old Mission as a Quantitative Trading Analyst since 2021. In this role, he focuses on quantitative analysis, contributing to the financial industry from Chicago, Illinois. His work involves leveraging data analytics to inform trading strategies and enhance decision-making processes within the organization.
Previous Experience in Finance
Prior to his current position, Patrick Di Rita worked at Moore Capital Management in two distinct roles. He served as a Data Analysis Infrastructure Engineer for two months in 2019 and later as a Quantitative Developer for another two months in 2020. Both positions were based in New York, New York, where he gained experience in data analysis and quantitative development.
Education and Expertise
Patrick Di Rita completed his high school education at the University of Detroit Jesuit High School and Academy, graduating in 2017. He then pursued higher education at Washington University in St. Louis, where he earned both a Bachelor of Science and a Master of Science in Computer Science, completing his studies in 2021. His academic background supports his expertise in data analytics, particularly within the financial sector.
Background in Engineering and Data Analysis
In addition to his financial experience, Patrick Di Rita worked as a Signal Processing Engineer at Humatics for two months in 2018 in the Greater Boston Area. This role contributed to his understanding of data processing and analytics, further enhancing his skill set for his future positions in quantitative analysis.
Interests in Machine Learning and AI
Patrick Di Rita has a keen interest in applying machine learning and artificial intelligence to various fields, including medicine and mobility. This interest reflects his commitment to exploring innovative technologies and their potential applications beyond traditional financial analysis.