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Hedge Funds
NLP Engineer
at Point72
GraduateNo visa sponsorshipData Science/AI/ML
Posted a day ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join a quant research team to develop modern NLP solutions (LLMs, agents, RAG) applied to systematic investing. You will explore and combine internal and external textual datasets, formulate research hypotheses to derive alpha, and build GenAI solutions leveraging internal models and external APIs. The role requires strong Python and SQL skills, familiarity with the data science stack, and good software engineering practices. This is an early-career position that values collaboration, interest in financial markets, and high ethical standards.
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NLP Engineer Career
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P72 Careers - Header
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NLP Engineer
Apply Now
Experience
Early Career
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities:
We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.
We believe the investment world offers unique opportunities to use modern NLP methods.
Responsibilities may include:
- Exploring and combining rich internal and external textual datasets
- Formulating research hypothesis to derive alpha
- Building GenAI solutions, leveraging both internal models and external APIs
Requirements:
- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
- Data science stack familiarity
- Interest in financial markets
- 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 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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Role/Responsibilities:
\nWe are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.
We believe the investment world offers unique opportunities to use modern NLP methods.
Responsibilities may include:
- Exploring and combining rich internal and external textual datasets
- Formulating research hypothesis to derive alpha
- Building GenAI solutions, leveraging both internal models and external APIs
Requirements:
\n- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
- Data science stack familiarity
- Interest in financial markets
- 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 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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NLP Engineer
at Point72
Back to all Data Science / AI / ML jobs
Hedge Funds
NLP Engineer
at Point72
GraduateNo visa sponsorshipData Science/AI/ML
Posted a day ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join a quant research team to develop modern NLP solutions (LLMs, agents, RAG) applied to systematic investing. You will explore and combine internal and external textual datasets, formulate research hypotheses to derive alpha, and build GenAI solutions leveraging internal models and external APIs. The role requires strong Python and SQL skills, familiarity with the data science stack, and good software engineering practices. This is an early-career position that values collaboration, interest in financial markets, and high ethical standards.
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NLP Engineer Career
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P72 Careers - Header
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NLP Engineer
Apply Now
Experience
Early Career
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities:
We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.
We believe the investment world offers unique opportunities to use modern NLP methods.
Responsibilities may include:
- Exploring and combining rich internal and external textual datasets
- Formulating research hypothesis to derive alpha
- Building GenAI solutions, leveraging both internal models and external APIs
Requirements:
- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
- Data science stack familiarity
- Interest in financial markets
- 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 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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P72 Careers - Footer
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Role/Responsibilities:
\nWe are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.
We believe the investment world offers unique opportunities to use modern NLP methods.
Responsibilities may include:
- Exploring and combining rich internal and external textual datasets
- Formulating research hypothesis to derive alpha
- Building GenAI solutions, leveraging both internal models and external APIs
Requirements:
\n- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
- Data science stack familiarity
- Interest in financial markets
- 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 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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