Capital Fund Management

23 rue de l’Université

Tel: +33 (0)1 49 49 59 49

About Capital Fund Management

CFM profile imageWe’re a pioneer in the field of quantitative trading, founded in 1991. We are innovative, collaborative and passionate about what we do.

Why work for us
We create an environment for highly talented and passionate PhDs, IT engineers and other recognized experts to explore new ideas and challenge the norm. We are a Great Place To Work and welcome those who are intellectually curious and keen to see CFM’s thinking, research and analysis come to life in a way that benefits our clients.

Training and development
At CFM we offer a completely integrated approach to training and learning about all aspects of our business whether it’s scientific seminars and technical training or products teach-ins and innovation competitions. Professional and personal development are at the heart of our HR policies, which offer internal mobility to build experience and collaboration, external training for new skills and a variety of clubs and charity opportunities to encourage personal development.

What we are looking for
We are looking for great minds, and team players to help us remain at the forefront of modern investment management. If you’re someone who enjoys rising to a challenge, who pursues excellence with enthusiasm and perseverance, and who sees the value in collaboration and co-operation to uncover the best ideas, develop the best solutions and deliver the best results, then come join CFM.

Paris, New York, London

Number of employees

Main areas of research
CFM conducts research on all aspects of the investment process: from data analysis to trade execution and portfolio construction algorithms. Our interests range from macro analysis (carbon strategies, country and sector analysis) to order books, from specific financial instruments to synthetic instruments

Positions recently recruited for
Quantitative researchers, IT and software engineers

Desired degree disciplines/class
PhD in physics, mathematics, biology, computer sciences, economics, with a strong emphasis on the numerical manipulation of data. No prior knowledge of finance is required

Eligibility to work in the EU/US

How to apply
Please visit

Closing date
All year round


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