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Quantitative Researcher Nlp Jobs (NOW HIRING)

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

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 ...

Point72

NLP Engineer

New York, NY · On-site

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 ...

Point72

NLP Engineer

New York, NY

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 ...

Verita AI

Founding Applied Researcher

San Francisco, CA

$175K - $300K/yr

We love backgrounds in quant, research, and top startups * We believe exceptional talent should be ... Master's degree or PhD in Computer Science, NLP, Machine Learning, or related field. Undergrads ...

New

Point72

NLP / AI Engineer

New York, NY

... research philosophy and direct portfolio impact. Requirements: * Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP ...

Point72

NLP / AI Engineer

Manhattan, NY

... research philosophy and direct portfolio impact. Requirements: * Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP ...

Point72

NLP / AI Engineer

New York, NY · On-site

... research philosophy and direct portfolio impact. Requirements: * Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP ...

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Quantitative Researcher Nlp information

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$52.5K

$119.2K

$196.5K

How much do quantitative researcher nlp jobs pay per year?

As of Jun 15, 2026, the average yearly pay for quantitative researcher nlp in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Researcher Nlp vs Quantitative Analyst?

AspectQuantitative Researcher NlpQuantitative Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of NLP and machine learningDegree in Finance, Economics, or Mathematics; strong statistical and analytical skills
Work EnvironmentTech-focused, research-driven, often in finance, tech, or research firmsFinancial institutions, investment firms, banks, focusing on data analysis and modeling
Employer & Industry UsageUsed in finance, tech, and research sectors for developing NLP models and algorithmsPrimarily in finance and investment sectors for quantitative modeling and risk assessment

While both roles involve quantitative skills, Quantitative Researcher Nlp specializes in natural language processing and machine learning techniques, often requiring programming and AI expertise. Quantitative Analysts focus more on statistical analysis, financial modeling, and data interpretation. The roles overlap in data analysis but differ in technical focus and industry application.

What are some typical challenges a Quantitative Researcher specializing in NLP might face when working on real-world data sets?

As a Quantitative Researcher in NLP, you’ll frequently encounter challenges such as handling noisy, unstructured, or imbalanced textual data, which can complicate model development and evaluation. Real-world data often lacks proper labeling, requiring creative solutions like semi-supervised learning or data augmentation. Additionally, ensuring that your models generalize well and avoid biases is critical, as is efficiently collaborating with data engineers and software developers to deploy robust solutions. Navigating these challenges effectively is key to delivering impactful NLP applications.

What are the key skills and qualifications needed to thrive as a Quantitative Researcher NLP, and why are they important?

To thrive as a Quantitative Researcher NLP, you need a solid background in mathematics, statistics, and computer science, typically supported by an advanced degree such as a master's or Ph.D. in a related field. Expertise with programming languages like Python, NLP libraries (e.g., spaCy, Hugging Face), and experience with machine learning frameworks are essential, along with familiarity with data analysis tools. Strong problem-solving skills, creativity, and effective communication help you design novel models and explain complex results to diverse audiences. These technical and interpersonal abilities are crucial for developing cutting-edge NLP solutions and collaborating effectively in research-driven teams.

What does a Quantitative Researcher in NLP do?

A Quantitative Researcher specializing in Natural Language Processing (NLP) applies mathematical, statistical, and computational techniques to analyze and model language data. Their work often involves developing algorithms to interpret, generate, or translate human language, and leveraging large datasets to uncover patterns and insights. They may work in finance, technology, or academia, using machine learning and deep learning models to solve complex language-related problems. These researchers collaborate with interdisciplinary teams to advance NLP applications, such as chatbots, sentiment analysis, and automated trading systems. Their role requires strong skills in programming, data analysis, and a deep understanding of linguistics and machine learning.
Infographic showing various Quantitative Researcher Nlp job openings in the United States as of June 2026, with employment types broken down into 11% Internship, 67% Full Time, and 22% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Quantitative Research Intern (NLP)

Quantitative Research Intern (NLP)

Point72

New York, NY

Other

Posted 19 days ago

Job description

ROLE/RESPONSIBILTIES:

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.

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