About Charles
Opérations / business :
3 ans d'expérience en data analyst and Machine Learning researcher dans des fonds d'investissement quantitatifs et des banques. Dernière en data Credit Agricole Corporate and Investment Banking.
Data analyst ML researcher:
J'effectue des missions data et ML depuis 2022:
- Architecture & pipelines data : mise en place de pipelines robustes (ETL / ELT) et modélisation de données (DataVault, Snowflake, BigQuery, dbt, etc.)
- Développement de modèles ML : conception, entraînement, évaluation et mise en production de modèles prédictifs sur des données financières et comportementales
- Industrialisation & déploiement : MLOps, versioning (DVC, MLflow), CI/CD (GitLab, Airflow), monitoring de modèles
French
Native or bilingual
English
Native or bilingual
Spanish
Conversational
Can work on-site
Paris (up to 50km)
Experience
- Capital Fund Management (CFM)Data analyst and Quant researcherCONSULTING AND AUDITSMay 2023 - November 2023 (6 months)Paris, France· Performed Refinitiv fundamental data parsing and feature engineering to prepare the model training work· Implemented fundamental data automatic strategy using tree-based methods and neural networks· Identified potential alpha in the data and developed a strategy based on this signal with the research team
- Crédit Agricole Corporate & Investment BankMarket making quant researcherMay 2024 - December 2024 (7 months)Paris, France· Conducted a comprehensive review and enhancement of AMM Credit pricing models· Explored and implemented advanced statistical methodologies to address fat tail problems· Developed a Python-based proof-of-concept module
- Sandbar asset managementQuantitative researcherApril 2022 - October 2022 (6 months)Londres, United Kingdom· Conducted time series forecasting with multi-modal models which became part of the fund strategy· Executed Portfolio optimization and risk analysis to reduce portfolio’s exposure to various factors· Drafted an automated report on the economy using alternative data and the Bloomberg API
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Education
- Master Mathématiques et Intelligence ArtificielleUniversité Paris-Saclay2024Optimisation, Deep Learning, Supervised and Unsupervised learning, Probabilistic Generative Models
- Master 203 FinancialUniversité Paris Dauphine - PSL2024Stochastic processes, Applied time series, Econometrics, Electronic markets & algo trading, Machine Learning for finance, C++, Numerical finance