Internship: AI-Driven Data Quality & News Outlier Detection

Capital Fund Management (CFM); Paris; On-site; EUR 10,000 - 17,000; Part time

Job summary

Capital Fund Management (CFM) is seeking an Internship - Agentic Data Quality & News-Driven Outlier Detection in Paris. You will join the Data Referential team to ensure data integrity for the trading universe, focusing on derivatives and reference data.

The role blends data management, technology and finance, enabling automated outlier classification via AI agents and historical News signals. Ideal candidates are pursuing a Master’s in data science, with strong Python skills, experience with

Qualifications

• Pursuing a Master’s in data science or equivalent with a focus on data quality.
• Strong data analysis and automation skills are required.
• Proficient in Python; comfortable with English and French.
• Experience with large text/news datasets is a plus.

Responsibilities

• Develop AI-assisted data quality processes to ensure data integrity.
• Work with News datasets to derive contextual signals for outlier analysis.
• Collaborate with cross-functional teams to benchmark results against historical validations.
• Handle large, feature-rich datasets efficiently and innovate on tooling.
• Help integrate AI-driven approaches into production workflows with minimal manual effort.

Skills

Data science

Data analysis

Python

French & English

Automation

Text data / News datasets

Problem solving

Education

Master's degree in data science

Tools

SQL

Job description

Capital Fund Management (CFM) is seeking an Internship - Agentic Data Quality & News-Driven Outlier Detection in Paris. You will join the Data Referential team to ensure data integrity for the trading universe, focusing on derivatives and reference data.

The role blends data management, technology and finance, enabling automated outlier classification via AI agents and historical News signals. Ideal candidates are pursuing a Master’s in data science, with strong Python skills, experience with