Stage - Data Management & IA appliquée aux référentiels de fonds H/F
Core
Build a group-wide reference data framework for investment funds to ensure data reliability using data approaches and AI tools for anomaly detection and intelligent controls.
Role type
Intern, Data Management & Applied AI
Builds
A standardized reference data repository for investment funds
Domain
Financial services / Investment funds
Deliverable
production ML models
Required skills
Data analysis, Anomaly detection, Data quality assessment, SQL, Python, R, Data visualization
Preferred skills
Experience with investment fund characteristics, Automation of controls, Prioritization of anomalies
Responsibilities
Analyze reference data to detect inconsistencies and patterns, Contribute to improving control tools and rules, Propose AI/data analytics automation ideas, Document deliverables and update procedures, Collaborate with experts to validate results, Provide ad-hoc support on production activities, Organize and share quality/productivity indicators