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Researcher- Quantitative Finance (New York)

Employer
Capital Fund Management
Location
New York City, New York (US)
Salary
Unspecified
Closing date
1 Feb 2022
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Job Details

Is CFM what you’re looking for?

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

What can CFM offer you?

We create a unique international environment for highly-talented and motivated people to explore new ideas and challenge assumptions. We welcome talent that is intellectually curious and keen to see CFM’s thinking, research and analysis to add value for our clients.

Are you passionate about Research?

The success of CFM is born from our scientific and collaborative approach to research; we value and invest significantly in R&D. If you’re a team-player, curious and want to contribute to pioneering research into financial markets, come and join our team!

Position:

The position involves applied research in financial time series in order to detect and exploit any robust statistical pattern. The aim is to build new strategies, to supplement those already devised and implemented by CFM. You will be working in a team of 55 researchers in close collaboration with software engineers.

The work will consist in developing statistical tools, exploiting recent theoretical models, carefully backtesting the robustness through data analysis and implementing them in practice.

The candidate should be both creative, in order to imagine new ways of detecting hidden statistical patterns, and rigorous.

Although a high interest in finance is crucial, no prior experience in the quantitative finance is required.

The position will be held in New York.

Ideal Candidate:

PhD in theoretical, experimental or computational science fields such as physics, mathematics, computer science or engineering.

Two years of professional experience or post doctoral experience is preferred.

Taste for analysis of complex data sets, modelling and practical implementations in simulation environments.

Proficiency in scientific programming. As part of the interview process, candidates will be required to code in Python.

Adaptable and rigorous, capable of working in a quickly evolving environment.

Strong teamwork and communication skills.

Company

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.


Locations
Paris, New York, London

Number of employees
250

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

Pre-requisites
Eligibility to work in the EU/US

How to apply
Please visit cfmcareers.fr

Closing date
All year round

Contact
E-mail careers@cfm.fr
www.cfm.fr

Find Us
Website
Telephone
+33 (0)1 49 49 59 49
Location
23 rue de l’Université
Paris
75007
France
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