Pierre Foret
Quantitative Research Analyst
New York, New York, United Kingdom
Summary
👤
Senior🎓
Top SchoolPierre Foret is a quantitative research analyst with 8 years of experience applying statistics, machine learning, and competitive programming to finance and AI. He currently builds data-driven strategies at Citadel Securities after a Google AI residency and NLP research at SumUp, blending rigorous academic training from Ensae ParisTech and UC Berkeley with practical industry impact. A DataOpen 2018 winner, he combines contest-winning data science instincts with production-savvy modeling for high-stakes environments. Comfortable in Python, C++, and Julia, he moves between prototyping research ideas and scaling them into trading systems. Based in New York with a background in elite French preparatory math, he brings both mathematical depth and fast iteration to complex quantitative problems. Notably, his profile reflects rare cross-domain experience—from sell-side credit strategy to cutting-edge AI research—enabling robust, interdisciplinary solutions.
9 years of coding experience
Master's degree, Financial Engineering, Master's degree, Financial Engineering at University of California, BerkeleyMPSI/MP*, Mathematics, physics, computer science., MPSI/MP*, Mathematics, physics, computer science. at Lycée ClemenceauMaster of Science in Applied Mathematics, Master of Science in Applied Mathematics at Ensae ParisTech
French, English
Github Skills (34)
algolia10
machine-learning10
github-pages10
google10
ai10
jekyll10
jekyll-theme10
python9
algolia-search9
jax8
deep-learning8
gpu8
tensorflow8
pytorch8
data-science7
Programming languages (6)
Github contributions (5)
PForet/PForet.github.io
Dec 2017 - Jun 2019
Contributions:4 PRs, 58 pushes, 8 branches in 1 year 5 months
PForet/TC1
Dec 2018 - Jan 2019
Reverse engineering of Correlation One's Terminal C1 game, to provide support for reinforcement learning.
Contributions:10 PRs, 19 pushes, 9 branches in 19 days
reinforcement-learningreverse-engineering
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