Quantitative Data Engineer

Join CFM: Pioneers in Quantitative hedge fund and Innovation

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 context :

Data is the fuel that powers our investment strategies: intraday price dynamics are used to better our investment decisions; buy/sell intents of market participants help to trade at the best available price... CFM Data team is in charge preparing the data to make quant research easier and trading more reliable.

The position

As a 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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