Benjamin Garnier Petit
About Benjamin Garnier Petit
Benjamin Garnier Petit is a quantitative researcher currently employed at Squarepoint Capital in New York. He has a strong academic background in applied mathematics and computer science, with experience in various research roles at notable institutions including Stanford University and Millennium Global Investments Limited.
Work at Squarepoint Capital
Benjamin Garnier Petit has been employed at Squarepoint Capital as a Quantitative Researcher since 2020. His role involves utilizing quantitative methods to analyze financial data and develop trading strategies. He previously interned at Squarepoint Capital in 2019 for two months in Singapore, gaining initial experience in quantitative research within the financial sector.
Education and Expertise
Benjamin Garnier Petit completed his education at École Polytechnique, where he studied Applied Mathematics and Computer Science, achieving both a Master of Science and Bachelor of Science from 2015 to 2019. He furthered his studies at Stanford University, earning a Master of Science in Computational Mathematics from 2018 to 2020. His educational background provides a strong foundation in quantitative analysis and computational techniques.
Background
Benjamin Garnier Petit began his academic journey at Lycée Sainte-Geneviève, where he studied Mathematics, Physics, and Computer Science in the MPSI - MP* Preparatory Course from 2013 to 2015. He transitioned into the finance industry with internships at Millennium Global Investments Limited and Tower Research Capital, where he gained practical experience in quantitative research.
Previous Work Experience
Before his current position, Benjamin Garnier Petit held various roles that contributed to his expertise in quantitative research. He worked as a Quantitative Research Intern at Millennium Global Investments Limited in 2017 and again as a Junior Quantitative Researcher in a part-time capacity from 2017 to 2018. Additionally, he served as a Research Assistant at Stanford Artificial Intelligence Laboratory from 2019 to 2020 and as a Course Assistant at Stanford University from 2018 to 2019.