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Hedge Funds
Quantitative Research Intern (NLP)
at Point72
InternshipNo visa sponsorshipData Science/AI/ML
Posted 20 hours ago
No clicks
- Compensation
- $125,000 – $200,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join an NLP-focused quantitative research team at Point72 to develop end-to-end trading signals from data processing through production. The role involves applying modern NLP and deep learning (e.g., PyTorch, HuggingFace, LLMs) to construct features, formulate research hypotheses, and evaluate signal performance. Strong Python, machine learning, statistics, and software engineering skills are required, with familiarity with common data-science tools preferred. A curiosity about finance, collaborative mindset, and high ethical standards are expected.
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Quantitative Research Intern (NLP) Career
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Quantitative Research Intern (NLP)
Apply Now
Experience
Internships
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities:
We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.
The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.
Responsibilities may include:
- Using NLP to construct features from varied datasets
- Formulating research hypotheses to derive alpha
- Building and testing the performance of trading signals based on NLP and financial features
- Launching identified signals into production
Requirements:
- Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline
- Proficient in Python and general software engineering principles (github, testing, dev workflow)
- Strong understanding of machine learning and statistics
- Prior research experience preferred
- Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
- Data science stack familiarity preferred
- An interest in financial markets
- Great attitude
- A collaborative mindset
- Commitment to the highest ethical standards
About Point72:
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
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.
Apply Now
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Role/Responsibilities:
\nWe are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.
The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.
Responsibilities may include:
- Using NLP to construct features from varied datasets
- Formulating research hypotheses to derive alpha
- Building and testing the performance of trading signals based on NLP and financial features
- Launching identified signals into production
Requirements:
\n- Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline
- Proficient in Python and general software engineering principles (github, testing, dev workflow)
- Strong understanding of machine learning and statistics
- Prior research experience preferred
- Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
- Data science stack familiarity preferred
- An interest in financial markets
- Great attitude
- A collaborative mindset
- Commitment to the highest ethical standards
About Point72:
\nPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
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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Quantitative Research Intern (NLP)
at Point72
Back to all Data Science / AI / ML jobs
Hedge Funds
Quantitative Research Intern (NLP)
at Point72
InternshipNo visa sponsorshipData Science/AI/ML
Posted 20 hours ago
No clicks
- Compensation
- $125,000 – $200,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join an NLP-focused quantitative research team at Point72 to develop end-to-end trading signals from data processing through production. The role involves applying modern NLP and deep learning (e.g., PyTorch, HuggingFace, LLMs) to construct features, formulate research hypotheses, and evaluate signal performance. Strong Python, machine learning, statistics, and software engineering skills are required, with familiarity with common data-science tools preferred. A curiosity about finance, collaborative mindset, and high ethical standards are expected.
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Quantitative Research Intern (NLP) Career
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Quantitative Research Intern (NLP)
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Experience
Internships
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities:
We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.
The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.
Responsibilities may include:
- Using NLP to construct features from varied datasets
- Formulating research hypotheses to derive alpha
- Building and testing the performance of trading signals based on NLP and financial features
- Launching identified signals into production
Requirements:
- Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline
- Proficient in Python and general software engineering principles (github, testing, dev workflow)
- Strong understanding of machine learning and statistics
- Prior research experience preferred
- Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
- Data science stack familiarity preferred
- An interest in financial markets
- Great attitude
- A collaborative mindset
- Commitment to the highest ethical standards
About Point72:
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
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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P72 Careers - Footer
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Role/Responsibilities:
\nWe are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.
The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.
Responsibilities may include:
- Using NLP to construct features from varied datasets
- Formulating research hypotheses to derive alpha
- Building and testing the performance of trading signals based on NLP and financial features
- Launching identified signals into production
Requirements:
\n- Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline
- Proficient in Python and general software engineering principles (github, testing, dev workflow)
- Strong understanding of machine learning and statistics
- Prior research experience preferred
- Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
- Data science stack familiarity preferred
- An interest in financial markets
- Great attitude
- A collaborative mindset
- Commitment to the highest ethical standards
About Point72:
\nPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
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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