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Quantitative Research Intern Jobs (NOW HIRING)

Optiver

Quantitative Research Intern (PhD)

Chicago, IL · On-site

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of mathematicians, scientists and technologists, to develop and enhance the models that drive Optiver's trading.

Optiver

Quantitative Research Intern PhD

Chicago, IL · On-site

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of mathematicians, scientists and technologists, to develop and enhance the models that drive Optiver's trading.

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How much do quantitative research intern jobs pay per month?

As of Sep 3, 2026, the average monthly pay for quantitative research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 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 the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY

Full-time

Re-posted 20 days ago

Job description

About the Internship

A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.

You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.

Requirements

Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits

What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.

Apply