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Quantitative Research Internships Jobs (NOW HIRING)

Akuna Capital

Quantitative Research Intern

Chicago, IL · On-site

$130K/yr

Akuna's Quant team is looking to add Quant Research Interns to a team of mathematicians, statisticians and technologists for our 10-week Akunacademy internship program in our Chicago office. This ...

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Quantitative Research Internships information

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$81.5K

$100.1K

$128K

How much do quantitative research internships jobs pay per year?

As of Jul 26, 2026, the average yearly pay for quantitative research internships in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks do Quantitative Research Interns typically work on during their internship?

Quantitative Research Interns often work on analyzing large datasets, developing statistical models, back-testing trading strategies, and assisting with the interpretation of empirical results. They may also conduct literature reviews, prepare technical reports, and present findings to more senior researchers or team leaders. Interns usually collaborate closely with quantitative analysts, data scientists, and portfolio managers, gaining exposure to real-world business challenges in financial or research-driven industries. This hands-on experience not only enhances their technical skills but also provides valuable insight into how quantitative research supports strategic decisions.

What are the key skills and qualifications needed to thrive in the Quantitative Research Internships position, and why are they important?

To thrive as a Quantitative Research Intern, you need a solid background in mathematics, statistics, and data analysis, often supported by coursework in quantitative disciplines such as finance, economics, or computer science. Proficiency with programming languages like Python, R, or MATLAB, and familiarity with data visualization and statistical software, are highly valued. Strong analytical thinking, attention to detail, effective communication, and teamwork abilities make candidates stand out. These skills are crucial for analyzing complex datasets, generating actionable insights, and contributing effectively to high-impact research projects.

What is a Quantitative Research Internships job?

A Quantitative Research Internship involves using mathematical models, statistical analysis, and programming to analyze financial markets, develop trading strategies, or improve risk management. Interns typically work with large datasets, implement algorithms, and collaborate with researchers to generate insights. These roles are common in finance, hedge funds, and technology-driven trading firms. Strong analytical skills, proficiency in languages like Python or C++, and knowledge of statistics and machine learning are often required.

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What cities are hiring for Quantitative Research Internships jobs? Cities with the most Quantitative Research Internships job openings:
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What job categories do people searching Quantitative Research Internships jobs look for? The top searched job categories for Quantitative Research Internships jobs are:
Quantitative Research Internships jobs near you
Infographic showing various Quantitative Research Internships job openings in the United States as of July 2026, with employment types broken down into 4% Internship, 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Internship

Posted 11 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.