Anselme Borgeaud is a quantitative research analyst on Pictet Asset Management’s systematic equity team with a decade of experience bridging data science and geophysics. He leverages a PhD in seismology and postdoctoral expertise in large-scale numerical simulation and deep learning to build robust, interpretable models for financial signals. Comfortable in Python and ML frameworks, he has a track record of producing production-ready code for high-volume time series and translating complex research into actionable investment insights. He also completed rotations in multi-asset investing in Tokyo, speaks advanced Japanese (JLPT N2), and holds the CFA Institute Certificate in ESG Investing. Notably, his background means he approaches market modelling with the same rigor used to infer earth structure from noisy seismic records—prioritizing feature engineering and interpretability. Based in Morges, Switzerland, he combines academic depth with practical asset management experience and top-percentile CFA exam performance.
10 years of coding experience
2 years of employment as a software developer
University of Tokyo
Propulsion Academy Zürich
Bachelor of Science - BS, Physics, Bachelor cycle grade 5.31/6, Physics GRE 78th percentile, Bachelor of Science - BS, Physics, Bachelor cycle grade 5.31/6, Physics GRE 78th percentile at EPFL (École polytechnique fédérale de Lausanne)
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Anselme Borgeaud - Research Analyst In A Quantitative Equity Team