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How much do quantitative internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for quantitative internship in the United States is $40.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $62.02 per hour, depending on experience, location, and employer.

What is a quantitative internship?

A Quantitative Internship is a temporary position, often for students or recent graduates, where individuals apply mathematical, statistical, and computational techniques to solve real-world business problems. These internships are common in industries like finance, technology, and consulting, and typically involve tasks such as data analysis, building predictive models, and supporting trading strategies. Quantitative interns gain hands-on experience working with large datasets, programming, and collaborating with teams to drive data-informed decisions. This role is an excellent way to develop practical skills and explore careers in quantitative fields.

What kinds of projects do quantitative interns typically work on during their internship?

Quantitative interns often work on real-world data analysis, model development, and research projects that directly support the team’s trading, risk, or research objectives. These projects may involve developing statistical models, backtesting trading strategies, or automating data pipelines under the guidance of senior quants. Interns are usually paired with mentors and collaborate closely with both fellow interns and full-time analysts, providing opportunities to learn from experienced professionals and contribute meaningfully to the team's goals.

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

To thrive as a Quantitative Intern, you need strong mathematical, statistical, and analytical skills, typically supported by coursework in quantitative fields such as mathematics, statistics, physics, computer science, or finance. Familiarity with programming languages like Python, R, or MATLAB, and experience using data analysis tools and statistical software are commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help set candidates apart. These competencies are crucial for accurately analyzing data, developing models, and effectively communicating insights in fast-paced, data-driven environments.

What is the difference between Quantitative Internship vs Quantitative Analyst?

AspectQuantitative InternshipQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsBachelor's or master's degree in finance, mathematics, or related fields; often requires some experience
Work EnvironmentInternship programs within financial firms, hedge funds, or investment banksFull-time role in financial institutions, hedge funds, or asset management firms
Employer & Industry UsageUsed as a training position for aspiring analysts in financeProfessional role responsible for developing models and strategies in finance

In summary, a Quantitative Internship is an entry-level, temporary position aimed at gaining experience, while a Quantitative Analyst is a full-time professional role with greater responsibilities in financial modeling and analysis.

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Quantitative Internship jobs near you
Infographic showing various Quantitative Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $84,982 per year, or $40.9 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Internship

Re-posted 4 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.