About François
French
Native or bilingual
English
Fluent
Experience
- Association HozanaData ManagerHEALTH AND WELLNESSFebruary 2022 - Today (4 years and 4 months)Lyon, France
- Data stack & infrastructure: Design and deployment of the end-to-end data stack (ingestion, dbt transformation, BI) from heterogeneous sources (MySQL, GSheets, third-party APIs)
- Growth analytics: Ownership of the AARRR funnel (Acquisition, Activation, Retention, Revenue, Referral) — definition of north star metrics, construction of steering dashboards
- LTV & unit economics: Donor Lifetime Value modeling and profitability analysis per acquisition channel
- Product data science: Development of a donation propensity model to reduce marketing pressure and optimize mailing costs (direct mail campaigns)
- Experimentation: Implementation of an A/B testing culture on product features and conversion funnels (donation forms)
- Data culture dissemination: Training teams and evangelizing data/AI culture throughout the organization
- OneyData Science ManagerBANKING AND INSURANCESeptember 2021 - February 2022 (5 months)Croix, France
- Ownership of acceptance scores throughout their lifecycle (design, development, validation, backtesting) — scope: credit risk, marketing, and fraud detection
- Management of the data science team (6 people)
- Steering the development of an innovative score based on open banking data, integrating new behavioral sources to enhance risk assessment
- Definition and prioritization of the risk department's data roadmap
- Data & AI evangelization: leading popularization sessions on technical topics (machine learning, scoring, open banking) for business teams
- Credit Agricole Consumer Finance & MobilityModeling Team ManagerBANKING AND INSURANCEOctober 2018 - September 2021 (2 years and 11 months)59100 Roubaix, FranceManagement of the team responsible for credit risk modeling at CACF France. Supervision of 5 employees + 2 to 5 external contractors. Key achievements:
- Statistical estimation of Basel parameters using the IRBA method (PD, LGD, CCF) and presentation of impacts to top management.
- Modeling of parameters and estimation of expected losses using the IFRS9 method.
- Redesign of estimation methods (changes in default definition, impact studies on equity, conservatism margins) and associated documentation.
- Monitoring of audit missions (internal, CASA group, BCE-IMI Mission).
- Validation and backtesting of origination scores.
- Stress Test exercises: EBA, Budgetary, Climate.
- Monitoring and reporting of risk indicators (default rate, recovery rate).
- Issuing risk opinions on process evolutions (e.g., score cut modification) or new products and partnerships.
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Education
- Certificate "Creating Value with Data and AI"EDHEC Business School2025Certificat
- Data Scientist Certificate, Data ScienceEnsae-Ensai Continuing Education (Cepe)2015Certificat Data Scientist, Data Science