Summary
Pierre Corre is a risk-focused analytics manager with 13 years of experience applying statistical engineering to credit and market risk across banking clients including BNP Paribas, Oney and Nexialog Consulting. An ENSAI-trained engineer, he led development of group-wide Basel parameter methodologies (PD, LGD, EAD) and built production-grade tooling—from SAS backtests to Python Monte Carlo pricers—bridging rigorous regulatory practice with pragmatic implementation. Now managing business and consulting teams, he combines deep retail credit expertise with growing interests in market risk and advanced statistical techniques such as Random Forests, neural networks and text mining. Based in Paris and also describing himself as a web3 architect on GitHub, he brings curiosity-driven cross-disciplinary exploration to regulated financial environments.
13 years of coding experience
1 year of employment as a software developer
Diplôme d'ingénieur, Statistiques, Diplôme d'ingénieur, Statistiques at Ensai
Licence, Mathématiques, Licence, Mathématiques at Lycée de Kérichen, Brest