Summary
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.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Statistiques, Finance, Master's degree, Statistiques, Finance at Universite Paris VII
Ingenieur, Statistiques, Economie, Finance, Ingenieur, Statistiques, Economie, Finance at ENSAE Paris
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Pierre and Marie Curie University
English, French, Japanese