Matthew Siff

Matthew Siff is a Quant Trader at Old Mission, based in New York, NY. At Old Mission, he specializes in quantitative trading strategies, where he leverages mathematical models and programming expertise to identify and execute trades across multiple asset classes, with a focus likely on liquid securities such as equities, ETFs, and derivatives given Old Mission's market-making and proprietary trading business model.

Prior to joining Old Mission in 2021, Matthew co-founded and served as CEO of Next Door Tutors LLC, an educational technology startup, and was the New Ventures Director at Brown Student Agencies, where he led new business initiatives. He also gained experience as a Market Data Analyst at Bloomberg LP and held product development and investment internship roles, building a foundation in data analysis and financial markets.

Matthew holds a Bachelor of Science from Brown University, underscoring his quantitative and analytical skill set. He is recognized for his proficiency in programming languages such as Python, Java, and Stata, as well as his background in quantitative analytics and business analysis, positioning him as a key contributor to technology-driven trading and investment management.