Jobs · Engineering · New York

DATA SCIENTIST - Alternative Data

Capital Fund Management (CFM) · New York, United States · 1 mo ago
HybridEngineeringFull-time

About the role

The Data Insights/Data Science Alternative team collaborates closely with Research to perform predictive statistical analyses and derive valuable insight over a wide variety of datasets.

Key responsibilities

  • Extracting actionable features from alternative data
  • Designing robust, efficient, scalable, and monitored production pipelines
  • Support Quantitative Researchers in their day-to-day activities
  • Understand business issues to identify new opportunities
  • End-to-end ownership of the features and production build
  • Ensure continuous technology watch

Skills

  • A master’s degree (ideally a Master’s in machine learning or data science) from engineering school or university equivalent
  • At least 2 years of expertise in the Python data science stack
  • Familiarity with cloud services, such as AWS
  • At least 2 years of expertise in machine learning, especially on time series, on a production environment
  • Experience with LLM-assisted coding, agentic AI, and prompt engineering, focused on developing robust, production-grade solutions for financial use cases
  • Versatile, autonomous, and rigorous, with a team player attitude and good communication skills
  • Keen to develop in an environment that handles large volumes of data

Pay

Data Scientist Associate: Base salary range is 160-185 K$ + Bonus
Data Scientist VP: Base salary range is 190-215 K$ + Bonus

Schedule

N/A

Benefits

N/A

Qualifications

N/A

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, breath 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.

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