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Hedge Funds
Quantitative Researcher – Machine Learning
at Point72
GraduateNo visa sponsorshipData Science/AI/ML
Posted 19 hours ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City, London, Hong Kong
- Country
- United States, United Kingdom, China
Currency: $ (USD)
A highly collaborative role on Point72’s Internal Alpha Capture (IAC) team to develop AI-driven equity trading signals. The researcher will apply state-of-the-art machine learning methods (e.g., sequence models, GNNs, reinforcement learning, LLMs) to proprietary, large and potentially noisy datasets and manage the full research lifecycle from ideation through evaluation and application. Strong proficiency in Python, ML libraries (Torch, JAX, TensorFlow), software engineering practices, and clear communication are required; prior finance experience is not necessary.
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Quantitative Researcher – Machine Learning Career
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Quantitative Researcher – Machine Learning
Apply Now
Experience
Early Career
Location
New York | London | Hong Kong
Focus
Systematic Investing
Business
Cubist
Job Responsibilities
A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
- Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
- Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
- Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.
Desirable Candidates
- Master’s or PhD in machine learning, computer science, statistics, or related fields.
- Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
- Prior research experience utilizing machine learning over large, possibly noisy, data sets.
- Strong analytical and quantitative skills, and a detail-oriented mindset.
- Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
- Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
- Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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.
Apply Now
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Job Responsibilities
\nA highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
- Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
- Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
- Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.
Desirable Candidates
\n- Master’s or PhD in machine learning, computer science, statistics, or related fields.
- Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
- Prior research experience utilizing machine learning over large, possibly noisy, data sets.
- Strong analytical and quantitative skills, and a detail-oriented mindset.
- Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
- Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
- Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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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Quantitative Researcher – Machine Learning
at Point72
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Hedge Funds
Quantitative Researcher – Machine Learning
at Point72
GraduateNo visa sponsorshipData Science/AI/ML
Posted 19 hours ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City, London, Hong Kong
- Country
- United States, United Kingdom, China
Currency: $ (USD)
A highly collaborative role on Point72’s Internal Alpha Capture (IAC) team to develop AI-driven equity trading signals. The researcher will apply state-of-the-art machine learning methods (e.g., sequence models, GNNs, reinforcement learning, LLMs) to proprietary, large and potentially noisy datasets and manage the full research lifecycle from ideation through evaluation and application. Strong proficiency in Python, ML libraries (Torch, JAX, TensorFlow), software engineering practices, and clear communication are required; prior finance experience is not necessary.
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P72 Careers - Header
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Quantitative Researcher – Machine Learning
Apply Now
Experience
Early Career
Location
New York | London | Hong Kong
Focus
Systematic Investing
Business
Cubist
Job Responsibilities
A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
- Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
- Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
- Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.
Desirable Candidates
- Master’s or PhD in machine learning, computer science, statistics, or related fields.
- Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
- Prior research experience utilizing machine learning over large, possibly noisy, data sets.
- Strong analytical and quantitative skills, and a detail-oriented mindset.
- Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
- Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
- Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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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Job Responsibilities
\nA highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
- Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
- Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
- Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.
Desirable Candidates
\n- Master’s or PhD in machine learning, computer science, statistics, or related fields.
- Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
- Prior research experience utilizing machine learning over large, possibly noisy, data sets.
- Strong analytical and quantitative skills, and a detail-oriented mindset.
- Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
- Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
- Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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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