Data Scientist

Capital Fund Management (CFM); Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

Capital Fund Management (CFM) is seeking a Quant Developer in Paris to apply quantitative and statistical expertise to high-impact financial challenges. You will work on portfolio construction, advanced statistical analysis, and large-scale data management, driving real-time investment decisions.

You will focus on quantitative challenges rather than traditional ML, with your ML/data science background valued to enhance analytical thinking used in production environments.

Qualifications

• Master's degree in computer science, mathematics, engineering, or related field.
• Strong programming and quantitative analysis experience.
• Experience with large-scale data and production systems.

Responsabilités

• Integrate and validate analytical models within production systems.
• Perform detailed statistical diagnostics to improve model quality.
• Build applications for distributing calculations at scale.
• Collaborate with quantitative researchers to improve methodologies in the decision chain.

Connaissances

Python

Pandas

NumPy

Statistics

Distributed systems

Linux

Formation

MSc in CS/Math/Eng

Description du poste

Founded in 1991, CFM is a global leader in quantitative and systematic asset management. We apply a rigorous scientific approach to develop alternative investment strategies that create value for our clients.

We value innovation, collaboration, and impact. CFM offers a stimulating environment where experts in research, technology, and business explore new ideas together.

ABOUT THE POSITION

The role offers the natural evolution for you as a Quant Developer and apply your quantitative and statistical expertise to high-impact financial challenges. You will work on portfolio construction, advanced statistical analysis, and large-scale data management, with immediate impact: your analytical work drives real-time investment decisions.

Note: This role focuses on portfolio construction and quantitative analysis rather than machine learning. However, your ML and data science background will be highly valuable in applying rigorous analytical thinking to quantitative challenges.

KEY RESPONSIBILITIES

Work on meaningful technical challenges:

• Integrate and validate new analytical models within production systems
• Perform detailed statistical diagnostics to improve model quality and robustness
• Build applications for distributing calculations at scale
• Collaborate directly with quantitative researchers to improve methodologies used in the decision chain

Make decisions that matter:

• Your work impacts portfolio construction and systematic investment strategies
• Contribute to systems directly impacting production environments
• Develop new features on the production decision chain in collaboration with research teams
• Investigate sim/prod divergences and diagnose portfolio behaviors
• Propose improvements to portfolio optimization, trading cost models, risk control, and roll management

Grow with modern tooling:

• Work with cutting-edge technologies and AWS
• Build in Linux environments with high code quality standards

ABOUT YOUR SKILLS

Education & Experience

• Master's degree in computer science, Mathematics, Engineering, or related field
• 4-5+ years of experience in quantitative development, data science, or demanding technical environments

Technical Skills

• Advanced Python, Pandas, NumPy
• Strong foundations in mathematics and statistics
• Ability to critically analyze and interpret data and results
• Comfortable with distributed systems and large-scale data manipulation
• Proficient in Linux and production environments

Qualities

• Collaborative spirit and ability to work efficiently
• Rigor, code quality, and testing culture
• Curiosity for new technologies
• Excellent command of English

WHY JOIN CFM?

• Apply your ML/Data Science expertise to high-level financial challenges
• Collaborate with recognized experts in quantitative research
• Direct impact: your models power investment strategies in production
• Stimulating environment valuing excellence and collaboration
• Work on systems handling real capital in production environments
• Access to modern tooling and cloud technologies

CFM is an equal opportunity employer committed to non-discrimination.