Quantitative Data Engineer

Capital Fund Management (CFM); Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading alternative investment management firm in Paris is seeking a Quantitative Data Engineer to enhance trading strategies. You will integrate datasets, develop predictive features, and work closely with research teams. Applicants should have 5+ years of experience, an MS degree, and strong coding skills in Python and C++. Join a dynamic environment where innovation thrives and diversity is valued.

Qualifications

• 5+ years of experience required.
• Strong coding skills with interest in technology.
• Hands-on understanding of machine learning processes.

Responsabilités

• Integrate new datasets and develop predictive features.
• Industrialization of features extraction pipelines.
• Assist with machine learning model development.

Connaissances

Programming languages (Python, C++)

Data manipulation libraries (pandas, spark, polars)

Linux environments

Machine learning processes

Strong coding skills

Excellent analytical skills

Team player

Formation

MS degree in Computer Science, Mathematics or related field

Description du poste

Join to apply for the Quantitative Data Engineer role at Capital Fund Management (CFM)

At Capital Fund Management (CFM), we lead the way in alternative investment management, mastering quantitative trading techniques to navigate global capital markets. Our innovative approach is built on 30 years of experience, utilizing rigorous statistical analysis of extensive financial data to drive our asset allocation, trading decisions, and automated order execution.

Become part of a team where cutting-edge technology meets pioneering research, fostering exciting opportunities and dynamic trading strategies. With assets under management totaling $20 billion, we are duly regulated by the AMF, SEC, and CFTC, ensuring trust and transparency.

CFM is a haven for intellectual curiosity, valuing diversity, collaboration, and the pursuit of impactful innovation. We are proud to be recognized as a Great Place to Work, offering an environment where PhDs, IT engineers, and experts in research and technology thrive.

Our collaborative culture encourages exploration and challenges the norm, bringing transformative ideas to life to benefit our clients.

If you are passionate about groundbreaking techno and eager to make a meaningful impact, CFM is the place for you. Join us and be part of a company that merges scientific rigor with financial insight.

The position

As a quant data engineer, you will contribute to the success of our strategies by integrating new datasets, developing predictive features and automating their extraction. This includes:

• Hand in hand feature development with quantitative researchers
• Industrialization of features extraction pipelines (deployment, data cleaning, monitoring)
• Assisting with research, development, and operations related to machine learning models
• Domain ownership of several datasets

Your profile

• Experience in programming languages (Python, C++), data manipulation libraries (pandas, spark, polars) and Linux environments (shell, git, slurm)
• Hands-on understanding of machine learning processes
• Previous experience working with tick-by-tick data is a plus
• Team player, able to communicate with quant teams
• Strong coding skills with an interest for technology
• Excellent analytical skills, ability to solve complex problems
• Capacity to work in a fast-paced, high-stakes environment, with a commitment to professional development and continuous learning
• 5+ years of experience
• Education: MS degree in Computer Science, Mathematics or related Computer Engineering or Science curriculum

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.

CFM is a signatory of the Women Empowerment Principles

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Seniority level

• Mid-Senior level

Employment type

• Full-time