Data Scientist Alternative (NY)

Capital Fund Management (CFM); New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Capital Fund Management (CFM) in New York is seeking a Data Insights/Data Science professional proficient in data analysis and machine learning. You will handle features and production pipelines, collaborating closely with researchers to drive insights from data.

This role requires a Master’s degree and at least 2 years of experience with Python and machine learning on production systems. Join a diverse and innovative team in a stimulating environment.

Qualifications

• Master's degree (ideally in machine learning or data science) from engineering school or equivalent.
• At least 2 years of expertise in the Python data science stack.
• Experience with cloud services, especially AWS.
• At least 2 years in machine learning in a production environment.
• Experience with LLM-assisted coding and agentic AI.

Responsibilities

• Extract actionable features from alternative data.
• Design robust, efficient, scalable production pipelines.
• Support Quantitative Researchers in their activities.
• Identify new opportunities by understanding business issues.
• Take ownership of features and production builds.
• Ensure continuous technology watch.

Skills

Data analysis

Python data science stack

Machine learning

AWS

LLM-assisted coding

Prompt engineering

Education

Master's degree in machine learning or data science

Job description

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 andgood 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.

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City