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**ABOUT CFM**:
We value innovation, dedication, collaboration, and the ability to make an impact. Together we create an environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge assumptions.
**ABOUT THE ROLE**:
CFM is seeking a talented and dynamic Data Scientist Engineer to join our technology team.
Our investment strategies rely on low-latency systems that optimize the execution costs of traded assets. These systems can react to market events in less than a millisecond to capture the best opportunities. To accomplish this, we employ a combination of market data expertise, technology, and machine learning (see e.g. A new hype or a new hope? Neural networks applied to live market data - CFM).
As a machine learning engineer:
- You enhance ML-based predictors used in execution strategies,
- You industrialize data engineering and machine learning pipelines,
- You build and maintain the technical stack used for execution research (C++, Python, petabytes of data),
- You collaborate closely with quant researchers to create top-notch execution algorithms.
**SKILLSET REQUIREMENTS/QUALIFICATIONS**:
- You have a master’s degree in engineering, data science or relative field,
- You are proficient in Python, C++, and experience using Linux Systems,
- You have previous experience with the Python data processing stack: Numpy, Pandas, Scikit-learn, Tensorflow, etc.
- You are passionate about programming,
- You learn quickly, with a strong team spirit,
- You are fluent in both English and French,
- You have interest in financial markets, and previous experience in the field is appreciated.
**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 and LinkedIn or visit our website to find out more about CFM.
