Jean-francois Perreton

Quantitative Research And Development Lead

United Arab Emirates
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Summary

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Senior
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Top School
Jean-francois Perreton is a Quantitative Research and Development Lead with nine years of focused experience building ML-driven, low-latency trading systems and algo execution platforms across major financial institutions. He has led multi-local quant engineering teams, championed DevOps and Infrastructure-as-Code for hybrid stacks, and implemented streaming infrastructures that power real-time analytics and forecasting. His work spans pre-trade impact models enhanced with ML, opportunistic liquidity-seeking algorithms, and production-grade index arbitrage and execution strategies developed in Asia and Europe. Now based in the UAE at ADIA, he combines hands-on quantitative research with product-minded delivery, tying model development directly to operational monitoring and control. A trained statistician and engineer from ENSAE and Université Paris VII, he is fluent in turning advanced signal processing and optimal-control research into robust, scalable trading workflows.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster's degree, Statistiques, Finance, Master's degree, Statistiques, Finance at Universite Paris VII
bookIngenieur, Statistiques, Economie, Finance, Ingenieur, Statistiques, Economie, Finance at ENSAE Paris
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Pierre and Marie Curie University
languagesEnglish, French, Japanese
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Github Skills (29)

pancakeswap10
data-mesh9
datalayer9
streaming9
rust8
stream-processing8
database8
dplyr8
sql-server8
sql8
kafka8
sparklyr8
ide8
cdc8
r8

Programming languages (4)

TypeScriptJavaRRust

Github contributions (5)

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Contributions:159 commits, 154 pushes, 1 branch in 1 month
Contributions:115 commits, 107 pushes, 1 branch in 2 months
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