Data Scientist Alternative (NY)

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 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 As an expert in data analysis and information extraction, you will be involved in every stage from the exploration to the production, including: Extracting actionable features from alternative data Designing robust, efficient, scalable, and monitored production pipelines Support Quantitative Researchers in their day-to-day activities Understanding business issues to identify new opportunities End-to-end ownership of the features and production build Ensuring continuous technology watch Your Skills You have a master's degree (ideally a Master's in machine learning or data science) from engineering school or university equivalent. At Least a 2 years of expertise in the Python data science stack. You are familiar with cloud services, such as AWS. At least 2 years of expertise in machine learning, especially on time series, on a production environment You bring experience with LLM-assisted coding, agentic AI, and prompt engineering, focused on developing robust, production-grade solutions for financial use cases. You are versatile, autonomous, and rigorous, with a team player attitude and good communication skills. You are keen to develop in an environment that handles large volumes of data.

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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