Kenza Lahlali is a quantitative researcher at Marshall Wace since November 2019, leveraging extensive experience in quantitative and systematic investment approaches. Prior to this role, Kenza worked as a quantitative research intern at Qube Research and Technologies from April 2019 to October 2019, focusing on creating predictive signals for a high-frequency desk. Kenza's earlier experience includes a position at BNP Paribas from June 2017 to August 2018, which involved developing predictive algorithms for bonds and rates using XGBoost, as well as an internship in equity derivatives structuring, where responsibilities included pricing equity derivatives and conducting market risk studies. Kenza holds a Master of Mathematics, Vision and Learning (MVA) from École Normale Supérieure Paris-Saclay and a Diplôme d'ingénieur in Applied Mathematics/Finance from CentraleSupélec, complemented by a rigorous foundational education in preparatory classes and the French Baccalaureate.
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