Loan Tricot
Quantitative Researcher
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolLoan Tricot is a quantitative researcher based in Boston with a decade of experience applying mathematical and data-science techniques to finance and crypto markets. Trained at École Polytechnique, HEC Paris and MIT Sloan, they blend rigorous academic research—work on Method of Moments for ARCH models and collaborations with Alfred Galichon—with hands-on implementation in proprietary trading and liquidity-studies at Flowdesk. Early starts in data science (building recommendation engines and document-parsing ML as a high-school intern) evolved into production ML deployed at major French banks and AI proof-of-concepts using BERT on GCP. Comfortable moving from theory to production, Loan’s background uniquely bridges applied mathematics, machine learning, and market microstructure research.
10 years of coding experience
2 years of employment as a software developer
Exchange, Mathematics and Computer Science, 3.94 / 4, Exchange, Mathematics and Computer Science, 3.94 / 4 at University of TorontoMSMS, Dual Degree with HEC Paris, MSMS, Dual Degree with HEC Paris at MIT Sloan School of ManagementGrande École, Management, Grande École, Management at HEC ParisLycée François MagendieBachelor of Science, Mathematics and Computer Science, Summa Cum Laude, 4.04 / 4, Bachelor of Science, Mathematics and Computer Science, Summa Cum Laude, 4.04 / 4 at École Polytechnique
French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
arxiv10
recommendation-engine8
curio6
machine-learning6
python4
graph1
simplify1
dao1
computation1
ethereum1
julia1
Programming languages (3)
Github contributions (5)
ltricot/CSE201_prototype
Nov 2018 - Jan 2019
Recommendation engine for arxiv researchers.
Contributions:167 commits, 3 PRs, 107 pushes in 2 months
arxivrecommendationmachine-learningresearchersrecommendation-engine
ltricot/ltricot.github.io
Oct 2016 - May 2023
Contributions:17 pushes, 1 branch in 6 years 8 months
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