Paul-émile D
Quantitative Researcher
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolPaul-émile D is a quantitative researcher with eight years of experience combining elite business and engineering training from HEC Paris and École Polytechnique with a strong mathematical foundation (M1 in Mathematics). He has applied probabilistic modeling, graph learning and NLP across finance-focused roles at Qube Research & Technologies, AXA IM, Candriam and La Financière de l'Echiquier, and completed a CIFRE-style PhD project on graph mining and learning for equity markets. Comfortable moving models from research to production, he blends data-science rigor in Python with quant trading instincts gained at G-Research and boutique asset managers. Based in Paris, he brings a rare mix of top-tier management-school strategic thinking and deep technical expertise in statistics and graph algorithms that drives actionable signals in financial markets.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Université Paris-Sud (Paris XI)Classe prépa ECS, Classe prépa ECS at Institution des ChartreuxMaster 1 (M1), Mathematics, Mention Bien, Master 1 (M1), Mathematics, Mention Bien at Aix-Marseille UniversitéMaster in Management (Grande École), Master in Management (Grande École) at HEC ParisData Science, Data Science at École Polytechnique
French, English, Italian
Github Skills (40)
python10
data-science10
scikit10
statistics10
machine-learning10
scikit-learn10
data-analysis10
pytorch8
missing-data8
tensorflow7
deep-learning7
shapely6
cartography6
neural-network5
jupyter-notebook5
Programming languages (3)
Github contributions (5)
pedugnat/memoire_processus_sto
Oct 2019 - Mar 2021
Contributions:7 pushes, 1 branch in 1 year 4 months
pedugnat/xg-tracker
Mar 2021 - Sep 2021
Contributions:30 pushes, 1 branch in 6 months
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