Quantitative Data Engineer

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 Software Engineer or Data Engineer, you will :

integrate new data sources

turn research workflows into robust production pipelines.

KEY RESPONSIBILITIES

• Work closely with quant researchers on feature design and implementation.
• Build, scale and maintain production-grade feature extraction pipelines.
• Implement controls around data quality, monitoring and operational reliability.
• Contribute to the deployment and support of machine learning models in a research and production setting.
• Own a number of datasets end-to-end, from ingestion and validation through to delivery and support.

YOUR POFILE

• 5+ years’ experience in a Quant Development or Quant Engineering role.
• Master’s degree in Computer Science, Mathematics, Engineering, or a comparable quantitative field.
• Excellent coding skills in Python and/or C++.
• Experience with Pandas, Spark, Polars, or similar data processing frameworks.
• Ability to work across on-prem and AWS-based Linux environments, with skills in shell scripting and Git.

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