Quant Researcher: AI-Driven Strategy & Tools

Capital Fund Management (CFM); Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Capital Fund Management (CFM) in Paris is seeking a quantitative researcher/software engineer to join its Research department. You will develop trading strategies through rigorous data analysis and build research tools to accelerate discovery, calibration, and deployment.

You will collaborate with a team of researchers and engineers, use Python and AI tools with appropriate validation, and contribute to visualization, reporting, and performance optimization of portfolios.

Qualifications

• Master's degree or PhD in a scientific field (engineering, mathematics, physics, CS) is required.
• 3–7 years of professional experience in quantitative research, data science, or software development.
• Strong proficiency in Python and data analysis foundations.

Responsibilities

• Monitor production pipeline, anticipate issues, and deliver robust solutions.
• Design and build research tools to move faster and with confidence.
• Refine calibration of systematic decision-making processes.
• Develop clear visualization and reporting tools.
• Create statistical methods to analyze and validate models.
• Collaborate with IT and Research teams; validate outputs of AI tools.

Skills

Python

Data analysis

Linear algebra

Optimization

Statistics

Git

Code reviews

Testing

English

Education

Master's degree or PhD in a scientific field

Tools

Git

Code reviews

Testing

Job description

Capital Fund Management (CFM) in Paris is seeking a quantitative researcher/software engineer to join its Research department. You will develop trading strategies through rigorous data analysis and build research tools to accelerate discovery, calibration, and deployment.

You will collaborate with a team of researchers and engineers, use Python and AI tools with appropriate validation, and contribute to visualization, reporting, and performance optimization of portfolios.