I was born in Saint-Malo, Brittany,
I got into quantitative research during a 2018 internship at Bloomberg, working on data-driven tools and quantitative models for derivative markets. After graduating, I joined Morgan Stanley’s equity exotics desk, developing systematic investment strategies and the technology supporting them - mostly in Python and Java.
I now work at the intersection of markets, math, and software - where building fast and solving complex problems matter. Outside work, I like to experiment with new tools and ideas at the edge of tech and finance, stay active, and spend time with my family (and our dog, Umi).
I have a soft spot for anything with motion - motorcycles, small planes, or code. I’m drawn to structure, feedback, and the quiet beauty of working systems.
Reach me at louis@guigo.me.
Resume
Experience
- Latour Trading - Quant Research Developer (2021–present) · New York, USA
- Morgan Stanley - Financial Engineer (2019–2021) · New York, USA
- Columbia University - Teaching Assistant (2019) · New York, USA
- Bloomberg LP - Quant Research Intern (Summer 2018) · New York, USA
- New York University - Teaching Assistant (2017–2018) · New York, USA
- Eurofidai Lab (CNRS) - Research Assistant (Summer 2017) · Grenoble, France
- Crédit Agricole CIB - Software Engineering Intern (Summer 2016) · Paris, France
Education
- NYU Courant Institute - M.S. in Mathematics in Finance (2017–2018) · New York, USA
- Ensimag - B.S. in Computer Science, M.S. in Financial Engineering (2015–2018) · Grenoble, France
- Lycée Sainte-Geneviève - Prépa in Mathematics, Physics & Computer Science (2013–2015) · Versailles, France
