AI-Driven Finance Data Quality Intern

Capital Fund Management (CFM); Paris; Sur place; EUR 20 000 - 31 000; Plein temps

Résumé du poste

Capital Fund Management (CFM) is seeking a Master’s student in data science to join the Equity Data Referential team in Paris. The role focuses on automating outlier review using AI and News data, improving data quality across non-production stock timeseries, and reducing manual review effort.

Applicants should be proficient with large datasets, SQL, and financial time series concepts, and be fluent in French and English.

Qualifications

• Pursuing a Master's degree in data science or a related field.
• Strong data analysis, problem-solving and automation skills.
• Comfortable working with large, high-dimensional datasets and AI tools.
• Fluent in both French and English.

Responsabilités

• For each outlier detected by the existing algorithm, develop an automated approach that leverages AI tools and historical News datasets to reduce the number of false positive issues.
• Design and implement methods to correlate detected outliers with contextual information extracted from News data, including sentiment and corporate events, to explain or validate market movements.
• Ensure the data quality of your results by benchmarking them against historical price validations that were previously performed manually.
• Address the challenges of working with large-scale, feature-rich News datasets, including sentiment scores and other signals, through efficient data processing and feature selection.
• Contribute to the improvement of the team's data quality pipeline for non-production stocks.
• Explore how AI-driven approaches can be integrated into the existing outlier detection and validation workflow.
• Help build reusable, scalable tooling to support the transition of products into production with higher confidence and lower manual effort.

Connaissances

Data science

Data analysis

Automation

Large datasets

French & English

Team spirit

News data processing

SQL

Financial time series

Corporate actions

Data quality frameworks

Formation

Master's degree in data science or related field

Outils

Python

Description du poste

Capital Fund Management (CFM) is seeking a Master’s student in data science to join the Equity Data Referential team in Paris. The role focuses on automating outlier review using AI and News data, improving data quality across non-production stock timeseries, and reducing manual review effort.

Applicants should be proficient with large datasets, SQL, and financial time series concepts, and be fluent in French and English.