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Quantitative Research Intern Jobs in Edison, NJ (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

Quantitative Research Intern

New York, NY · On-site

This is an opportunity for students and researchers of advanced data modeling and statistical ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

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How much do quantitative research intern jobs pay per month?

As of Aug 24, 2026, the average monthly pay for quantitative research intern in Edison, NJ is $6,666.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,575.00 and $7,933.33 per month, depending on experience, location, and employer.

What does a quantitative research intern do?

A Quantitative Research Intern typically assists in analyzing large datasets, developing mathematical models, and conducting statistical analysis to support decision-making in fields like finance, technology, or academia. Their responsibilities may include data cleaning, programming, running simulations, and generating reports on findings. Interns work closely with experienced quantitative researchers and may contribute to ongoing research projects or help develop new methodologies. This role is ideal for students or recent graduates with strong analytical skills and an interest in applying mathematics and statistics to solve real-world problems.

What are some typical projects a quantitative research intern might work on during their internship?

As a Quantitative Research Intern, you can expect to work on projects such as developing and backtesting trading algorithms, analyzing large datasets to identify market patterns, or implementing statistical models to forecast financial trends. Interns often collaborate closely with experienced researchers and traders, contributing to both ongoing research initiatives and exploratory projects. These experiences not only enhance technical and analytical skills but also provide exposure to real-world financial problem-solving in a dynamic team environment.

What are the key skills and qualifications needed to thrive as a quantitative research intern, and why are they important?

To thrive as a Quantitative Research Intern, you need strong analytical abilities, a solid foundation in statistics and mathematics, and progress toward a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or MATLAB, and experience using statistical analysis tools or platforms, are typically required. Attention to detail, problem-solving skills, and effective communication set candidates apart in this role. These skills enable you to analyze complex data, generate actionable insights, and clearly present findings to support data-driven decision-making.

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Quantitative Research Intern jobs near you
Infographic showing various Quantitative Research Intern job openings in Edison, NJ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 14% Part Time, 3% Temporary, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $79,998 per year, or $38.5 per hour.

Quantitative Research Intern (NLP)

Point72

New York, NY

Internship

Re-posted 29 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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