Peter Manhart

Peter Manhart is an experienced data scientist and machine learning engineer with a diverse background in trading and quantitative research. At Meta, Peter drives end-to-end machine learning model development and aligns strategic initiatives within ranking and content moderation. Previous experience includes serving as a Senior Data Scientist at Integra Credit, where Peter executed data analyses and developed a profitability prediction tool, and as a Senior Trader at V3 Markets, focusing on statistical arbitrage models in crude oil markets. Peter also held leadership roles, founding a refined energy desk at INTL FCStone Partners L.P. and creating a trading desk at Eagle Seven that incorporated machine learning techniques. Educational credentials include a Bachelor of Science in Engineering Physics from the University of Illinois at Urbana-Champaign and completion of a web development program at Dev Bootcamp.