Christophe B

Drive AXA's AI strategy across multiple entities by creating production ready ML/LLM components. Part of AI Center of Excellence focusing on ML/LLM practices Create of an AXA ML/LLM Engineering School available globally Specific focus on MLOps and LLMOps practical SOTA applications to deliver business value fast

Data Science & Machine Learning team Lead. The team is responsible for developping AI products deployed in the AWS cloud. We build internal models with an MLOPS mindset. We tackle different requests using advanced technologies (Hugging Face for NLP) as well as AWS Sagemaker services (real time inference). The creation and developpement of our datalake is a key priority to bring value to our data. My goal is also to spread a data-driven culture in the company.

We are reinventing the way football clubs consume data and democratizing access to football analytics.

Developing trading algorithms (real time) on football bets. I Work in AWS environment building my own Deep/Machine Learning models. We also offer model-based recommendations to football clubs (Computer Vision).

Implementation in C# of time-series/linear regression, index construction PCA, data analysis and supervised learning in R and python applied to market data Research, design, test and implementation of Credit and CVA VaR methodology Enhance the CreditRisk+II model (rating migration and credit portfolio modelling) Creation of a new model after research for regulators and senior management Assumptions testing and Backtesting for Credit and CVA VaR models Training of the junior quant team (USA, India, Poland)

• Implementation of the new investment risk application which is being rolled out worldwide • Design and implementation of additional relative market risk indicators and stress test scenarios • Liquidity risk analysis : liquidity score creation based on qualitative and quantitative analysis • Risk implementation, development and back-testing for UCITS-IV • Monthly and day-to-day monitoring of risk rapports: Value-at-Risk, Stress-tests, statistics tools… • Analysis of different results, portfolio simulation (coordination with the Front-Office)

High school level

Humanitarian work for MEF association near the local population (English lessons, gardening…)