Arnaud Pagniez is a mathematically rigorous trading professional and technologist with nine years’ experience spanning credit exotics trading at J.P. Morgan, data science in insurtech, founding a startup, and leading crypto/DEX efforts. Trained at École Polytechnique and ENSAE in financial mathematics and data science, he combines deep quantitative modeling with practical software and product skills to build algorithmic strategies and tradable indices. His career bridges front-office trading, applied machine learning and startup execution, and he has picked up management, legal and product acumen along the way. Based in Paris, he brings a rare mix of institutional trading discipline and entrepreneurial curiosity, often translating complex risk concepts into deployable technical solutions.
9 years of coding experience
1 year of employment as a software developer
Financial Mathematics, Financial Mathematics at Ecole polytechnique
Data Science - Statistique et Apprentissage, Mathematical Statistics and Probability, Data Science - Statistique et Apprentissage, Mathematical Statistics and Probability at Ensae ParisTech
PHYSICAL SCIENCES, PHYSICAL SCIENCES at Lycée Sainte Geneviève
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Arnaud Pagniez - Credit Exotics Trader at J.P. Morgan