ABOUT CFM
Founded in 1991, CFM is among the leaders in quantitative and systematic asset management, employing a scientific approach to develop alternative investment strategies that deliver value for our clients. We value innovation, dedication, and collaboration, fostering an environment where experts in research, technology, and business can explore new ideas and challenge conventional thinking.
ABOUT THE POSITION
The role offers the natural evolution for you as a Data Scientist looking to work as a Quant Developer and apply your ML and statistical expertise to high-impact financial challenges. You will work on predictive modeling, advanced statistical analysis, and large-scale data management, with immediate impact: your models drive real-time investment decisions.
Open positions in:
Alpha Signals team : develop predictive models powering our automated trading systems
Portfolio Construction team: develop portfolio optimization and multi-asset allocation frameworks
Keys responsibilities: (non-exhaustive list, depending on the team)
Work on meaningful technical challenges:
Integrate and validate new models within production systems
Design and optimize complex workflows with Machine Learning components
Perform detailed statistical diagnostics to improve model quality and robustness
Build applications for distributing calculations at scale
Collaborate directly with quantitative researchers to turn innovations into production
Make decisions that matter:
Your work impacts systematic trading and investment strategies
Contribute to systems directly impacting production environments
Grow with modern tooling:
Work with a cutting-edge technologies and AWS
Build in Linux environments with high code quality standards
Preferred skills and experience
Education & Experience
Master's degree in computer science, Mathematics, Engineering, or related field
4-5+ years of experience in Data Science, quantitative development, or demanding technical environments
Technical Skills
Advanced Python, Pandas, NumPy, Scikit-learn
Strong foundations in Machine Learning and statistics
Ability to critically analyze and interpret predictive models (hypothesis testing, bias/variance trade-offs, model diagnostics)
Comfortable with distributed systems and large-scale data manipulation
Proficient in Linux and production environments
Qualities
Collaborative spirit and ability to work efficiently
Rigor, code quality, and testing culture
Curiosity for new technologies
Excellent command of English and French
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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