Stanislas Berard

Stanislas Berard is a first-year student in Financial Engineering at ESILV, where they actively seek intellectual challenges in financial markets. They have previously served as a Research Student in Quantitative Finance, exploring the structure of financial data and predictive model generalization error. In 2024, Stanislas worked as a Quantitative Portfolio Manager Assistant at Allianz Global Investors, developing a machine learning pipeline for predicting Euro swap curves. Currently, they are a Quantitative Researcher at TOBAM, focused on building equity factor models and conducting strategy analysis for the firm's investment process.