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 va…
Skills: Python, Machine Learning, Time Series Analysis, AWS, LLM-assisted Coding
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Full-time
postgraduate degree
Posted 6d ago
Apply by Dec 11
~40 hrs/week
Responsibilities
The role involves extracting actionable features from alternative data and designing scalable production pipelines. You will collaborate with Quantitative Researchers to perform predictive statistical analyses and derive insights from diverse datasets.
Requirements
Candidates should hold a master's degree in machine learning, data science, or a related field. At least 2 years of experience in the Python data science stack and machine learning for time series in a production environment is required.
Full job description
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 Alternativeteam 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.
We are a global quantitative and systematic asset management firm applying a scientific approach to finance.
Industry
Financial Services
Company size
201-500 employees
Founded
1991
Headquarters
Paris, Ile-de-France
LinkedIn followers
36,278
Total funding
$8M
Capital Fund Management (CFM) is a successful alternative investment manager and a pioneer in the field of quantitative trading applied to capital markets across the globe. Our methodology relies on statistically robust analysis of terabytes of financial data for asset allocation, trading decisions and automated order execution.
CFM is an appealing career destination for highly-talented and passionate PhDs, IT engineers and experts from around the world. Our people can rely on original theoretical insight accumulated over 30 years of market experience, as well as cutting-edge technology and disciplined approaches.
These fundamentals allow us to foster the creation of exciting opportunities and state-of-the-art trading strategies. Our people’s diversity and dedication contribute to CFM’s unique culture of research, innovation and achievement.
The company is regulated by AMF, the SEC and the CFTC, with assets under management of $26.6 billion (April 2026).
Offices: 23, Rue de l'université, Paris, Ile-de-France 75007, FR · 405 Lexington Avenue, Floor 55, New York, NY 10174, US · 26 St James's Street, 2nd Floor, Bank Building, London, London SW1A 1HA, GB
How much do Science & Research jobs in New York, NY pay?
Based on 2842 listings with disclosed salaries, most science & research jobs in New York, NY pay between $55k–$192k per year. Individual offers vary with seniority, company size, and specialization.
How many Science & Research jobs are open in New York, NY right now?
There are currently 3,639 open science & research positions in New York, NY listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in New York, NY?
Companies currently hiring include Mount Sinai Health System, NYU Langone Health, New York City Housing Authority (NYCHA), Weill Cornell Medicine, Memorial Sloan Kettering Cancer Center, among others. Browse the listings above to see every active employer.
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