Data scientist pour la surveillance de l’IA (H/F)
Core
Designing and implementing methodologies for evaluating AI system compliance within the financial sector, including performance, robustness, explainability, and fairness.
Role type
AI risk surveillance and compliance methodology specialist
Builds
Evaluation frameworks and audit support tools for financial AI systems
Domain
Financial regulation and AI governance
Required skills
statistical modeling, programming, AI system evaluation, regulatory compliance analysis, stakeholder coordination, technical writing
Preferred skills
prior experience in AI system evaluation, PhD in AI
Technologies
N/A
Responsibilities
Develop ACPR evaluation methodologies for financial AI systems, formulate regulatory expectations for the financial sector, participate in methodological discussions with European authorities and national evaluators, support on-site control missions
Seniority
Mid-level, hands-on IC
