Jean-daniel Borowy is a quantitative trader based in Paris with 11 years of experience applying machine learning and quantitative research to market making and algorithm development. He combines hands-on coding in Python and C/C++ with building data and analytics frameworks for the financial industry, currently executing quantitative market making at Société Générale CIB. His background bridges research and production, turning statistical models into low-latency trading strategies and reliable analytics pipelines. Known for pragmatic problem-solving, he brings both academic rigor and practical engineering discipline to fast-moving trading environments. Although active on GitHub as a quantitative researcher, his most impactful work is reflected in proprietary trading systems and production-grade tooling rather than public repositories.
Contributions:4 pushes, 1 branch in 1 year 4 months
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