Senior Data Scientist — Fundamental Data for Alpha Signals

Capital Fund Management (CFM); Paris; On-site; EUR 120,000 - 190,000; Full time

Job summary

Capital Fund Management (CFM) seeks a Senior Data Scientist for the Data Corporate team in Paris. You will turn fundamental company data into high-impact features and signals that feed alpha models owned by Researchers.

You will work with data engineers and external providers to move from raw data to robust, point-in-time datasets and explore new features and statistical or ML approaches. This senior individual-contributor role demands deep data quality discipline, research usability, and

Qualifications

• Advanced degree in quantitative field; 10+ years in quantitative finance or related field.
• At least 5+ years as a Data Scientist in a production setting.
• Proven expertise with fundamental data and point-in-time datasets in finance.
• Ability to turn complex data into impactful research outputs and features.
• Professional-level English is required.

Responsibilities

• Turn fundamental company data into high-impact features and signals for alpha models.
• Own data quality and datasets from raw to point-in-time, collaborating with researchers and data engineers.
• Evaluate new data sources, methodologies, and technologies for durable research value.
• Design and assess economically grounded features and signals for alpha research.
• Lead collaborations with Researchers, while proposing datasets and reproducible workflows.

Skills

Python

SQL

NumPy

pandas

Polars

scikit-learn

AWS

Data visualization

Education

Master's degree or PhD in quantitative field

Tools

NumPy

pandas

Polars

scikit-learn

Job description

Capital Fund Management (CFM) seeks a Senior Data Scientist for the Data Corporate team in Paris. You will turn fundamental company data into high-impact features and signals that feed alpha models owned by Researchers.

You will work with data engineers and external providers to move from raw data to robust, point-in-time datasets and explore new features and statistical or ML approaches. This senior individual-contributor role demands deep data quality discipline, research usability, and