Summary
Jeremy Bensoussan is a quantitative researcher and data scientist with 12 years of experience applying statistical modeling, C++ engineering and machine learning across finance and applied AI. He has built production trading and risk tools at major hedge funds and banks, led front-office dev teams, and now applies quantitative research at Millennium. His background spans stochastic modeling for derivatives, time-series volatility research, and practical predictive modeling for product teams, with hands-on experience deploying systems used by dozens of portfolio managers. Jeremy also explores deep reinforcement learning for real-time malware neutralization and pursues hobbyist app development, reflecting a blend of research curiosity and product-oriented execution. Based in Israel, he combines multidisciplinary academic training in financial markets and computer science with a proven record of turning advanced models into reliable production software.
12 years of coding experience
13 years of employment as a software developer
Post Master's, International Business/Trade/Commerce, Post Master's, International Business/Trade/Commerce at American University
Master in Business Informatics - (M.Sc. Level), Computer Engineering and management, Master in Business Informatics - (M.Sc. Level), Computer Engineering and management at Université Paris Dauphine
Specialized Master, Financial Markets and Computer Science, Specialized Master, Financial Markets and Computer Science at SKEMA Business School
English, French, Hebrew