G-Research
Maxime Rivet is a Senior Quantitative Researcher at G-Research since June 2019, having previously contributed as a Quantitative Researcher and Intern within the same organization. Education includes a Master of Science in Computational and Mathematical Engineering from Stanford University (2017-2019) and formal studies at École Polytechnique (2014-2017). Experience encompasses roles as a Research Assistant at Stanford University School of Medicine, where efforts were focused on low-dimensional data visualization for cancer evolution, and at the School of Earth, Energy & Environmental Sciences, involving earthquake simulation framework development. Additional backgrounds include teaching Python and C++ as a Teaching Assistant at Stanford, conducting research at Societe Generale, developing analysis tools during an internship at CVA, and leading first-aid teams as a firefighter for the Brigade de sapeurs-pompiers de Paris.
G-Research
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G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets. We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.