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Hedge Funds
Machine Learning Researcher - Intern
at Point72
InternshipNo visa sponsorshipData Science/AI/ML
Posted 18 hours ago
No clicks
- Compensation
- $125,000 – $200,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join Cubist as a Machine Learning Researcher intern to apply, adapt, and extend ML methods across predictive modeling, time series, NLP, clustering and computer vision in a systematic investing setting. You will manage the full research lifecycle — methodology selection, data collection and analysis, implementation, prototyping, testing and performance evaluation — working closely with experienced researchers and portfolio managers. The role is research-focused and ideal for PhD students with strong scientific programming (Python/R/Matlab), quantitative skills, and curiosity about financial markets.
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Machine Learning Researcher - Intern Career
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Machine Learning Researcher - Intern
Apply Now
Experience
Internships
Location
New York
Focus
Systematic Investing
Business
Cubist
About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Job Description
Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
Desirable Candidates
- Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
- Superb analytical and quantitative skills, along with a healthy streak of creativity.
- Demonstrated ability to conduct independent research utilizing large data sets.
- Passion for seeing research through from initial conception to eventual application.
- Curiosity about financial markets
- Strong scientific programming in Python, R or Matlab.
- Empirical, detail-oriented mindset.
- Sense of ownership of his/her work, working well both independently and within a small collaborative team.
We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
The annual base salary is $125,000-$200,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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About Cubist
\nCubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Job Description
\nResearchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
Desirable Candidates
\n- Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
- Superb analytical and quantitative skills, along with a healthy streak of creativity.
- Demonstrated ability to conduct independent research utilizing large data sets.
- Passion for seeing research through from initial conception to eventual application.
- Curiosity about financial markets
- Strong scientific programming in Python, R or Matlab.
- Empirical, detail-oriented mindset.
- Sense of ownership of his/her work, working well both independently and within a small collaborative team.
We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
The annual base salary is $125,000-$200,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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Machine Learning Researcher - Intern
at Point72
Back to all Data Science / AI / ML jobs
Hedge Funds
Machine Learning Researcher - Intern
at Point72
InternshipNo visa sponsorshipData Science/AI/ML
Posted 18 hours ago
No clicks
- Compensation
- $125,000 – $200,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join Cubist as a Machine Learning Researcher intern to apply, adapt, and extend ML methods across predictive modeling, time series, NLP, clustering and computer vision in a systematic investing setting. You will manage the full research lifecycle — methodology selection, data collection and analysis, implementation, prototyping, testing and performance evaluation — working closely with experienced researchers and portfolio managers. The role is research-focused and ideal for PhD students with strong scientific programming (Python/R/Matlab), quantitative skills, and curiosity about financial markets.
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Machine Learning Researcher - Intern Career
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Machine Learning Researcher - Intern
Apply Now
Experience
Internships
Location
New York
Focus
Systematic Investing
Business
Cubist
About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Job Description
Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
Desirable Candidates
- Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
- Superb analytical and quantitative skills, along with a healthy streak of creativity.
- Demonstrated ability to conduct independent research utilizing large data sets.
- Passion for seeing research through from initial conception to eventual application.
- Curiosity about financial markets
- Strong scientific programming in Python, R or Matlab.
- Empirical, detail-oriented mindset.
- Sense of ownership of his/her work, working well both independently and within a small collaborative team.
We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
The annual base salary is $125,000-$200,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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About Cubist
\nCubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Job Description
\nResearchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
Desirable Candidates
\n- Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
- Superb analytical and quantitative skills, along with a healthy streak of creativity.
- Demonstrated ability to conduct independent research utilizing large data sets.
- Passion for seeing research through from initial conception to eventual application.
- Curiosity about financial markets
- Strong scientific programming in Python, R or Matlab.
- Empirical, detail-oriented mindset.
- Sense of ownership of his/her work, working well both independently and within a small collaborative team.
We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
The annual base salary is $125,000-$200,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EDesirable Candidates\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EStudents enrolled in a PhD program in machine learning, computer science, statistics, or a related field.\u003C/li\u003E\u003Cli\u003ESuperb analytical and quantitative skills, along with a healthy streak of creativity.\u003C/li\u003E\u003Cli\u003EDemonstrated ability to conduct independent research utilizing large data sets.\u003C/li\u003E\u003Cli\u003EPassion for seeing research through from initial conception to eventual application.\u003C/li\u003E\u003Cli\u003ECuriosity about financial markets\u003C/li\u003E\u003Cli\u003EStrong scientific programming in Python, R or Matlab.\u003C/li\u003E\u003Cli\u003EEmpirical, detail-oriented mindset.\u003C/li\u003E\u003Cli\u003ESense of ownership of his/her work, working well both independently and within a small collaborative team.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EWe’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary is $125,000-$200,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.\u003C/p\u003E\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"RecordTypeId\":\"012j0000000tcfpAAA\",\"Apply_Now_URL__c\":\"https://grnh.se/a6e325a42us\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2025-12-01T10:41:07.000+0000\",\"Location__c\":\"London\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v65.0/sobjects/Account/001j000000VbgA3AAJ\"},\"Business__c\":\"Cubist\",\"Name\":\"Cubist Systematic Strategies, LLC\",\"Id\":\"001j000000VbgA3AAJ\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v65.0/sobjects/RecordType/012j0000000tcfpAAA\"},\"DeveloperName\":\"Cubist\",\"Name\":\"Cubist\",\"Id\":\"012j0000000tcfpAAA\"}},\"friendlyJobName\":\"machine-learning-researcher-intern\",\"formattedTeam\":\"Systematic Investing\",\"formattedLocation\":\"New York\",\"formattedArea\":\"Investing\"}');
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