Quantitative Economics researcher
About this role
ABOUT CFM
Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
YOUR ROLE
As a Quantitative Researcher specializing in economics, you will extract insights from a wide range of datasets – from traditional financial data to unconventional alternative. Your work will focus on building new strategies and enhancing those already implemented at CFM, focusing on fundamental analysis and data-driven insights.
You will join a team of 100+ researchers and collaborate closely with data engineers and software engineers to turn research ideas into robust, production-ready trading signals.
YOUR RESPONSIBILITIES
- Push the research frontier
- Reproduce and expand on state-of-the-art ideas in the field
- Continuously refine models and methods based on empirical evidence and newly available data.
- Generate and test investment ideas
- Formulate new investment hypotheses and research questions.
- Design and execute rigorous statistical analyses and backtests to validate (or invalidate) these ideas.
- Explore and assess data
- Evaluate datasets (traditional and alternative) for their informational content and usability.
- Study the relationship between new features and existing economic quantities
- Transform promising data into strategies used in our research and production environment.
- Build and deploy trading signals
- Transform research results into robust, additive trading insights.
- Work with engineering teams to implement and maintain these signals in production.
The ideal candidate combines strong creativity, to uncover new and original features from our catalog of datasets, with a high degree of rigor in testing and validating ideas. Experience working with complex datasets using machine-learning and/or econometric techniques is highly valued. While a strong interest in finance is essential, prior professional experience in the field is not required.
YOUR SKILLS
- PhD in economics
- Post PhD experience (academic or private sector research)
- Understanding of the ins and outs of machine learning algorithms—and can tweak them as needed
- Experience with applied machine learning / econometrics to large datasets
- Programming skills in Python
- Adaptable and rigorous, capable of working in a quickly evolving environment
- Strong teamwork and communication skills
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.
FOLLOW US
Follow us on Twitter or LinkedIn or visit our website to find out more about CFM.
Company at a glance
Capital Fund Management (CFM) is a successful alternative investment manager and a pioneer in the field of quantitative trading applied to capital markets across the globe. Our methodology relies on statistically robust analysis of terabytes of financial data for asset allocation, trading decisions and automated order execution.
CFM is an appealing career destination for highly-talented and passionate PhDs, IT engineers and experts from around the world. Our people can rely on original theoretical insight accumulated over 30 years of market experience, as well as cutting-edge technology and disciplined approaches.
These fundamentals allow us to foster the creation of exciting opportunities and state-of-the-art trading strategies. Our people’s diversity and dedication contribute to CFM’s unique culture of research, innovation and achievement.
The company is regulated by AMF, the SEC and the CFTC, with assets under management of $26.6 billion (April 2026).
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