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Quantitative Analyst Internships Jobs (NOW HIRING)

Career Launch AI

Trading Analyst

New York, NY

$140K - $185K/yr

Quantitative Analyst (Quant) - Career Launch AI Talent Network Location: New York, NY Employment Type: Full-Time · Part-Time · Contract · Temporary · Internship · Casual Estimated Compensation ...

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative field for Quantitative Analyst; 3-5-year relevant work experience for Quantitative Associate. * Exposure ...

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Quantitative Analyst Internships information

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$56.5K

$133.9K

$240K

How much do quantitative analyst internships jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quantitative analyst internships in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a quantitative analyst internship?

Quantitative Analyst Internships are short-term positions, typically offered to students or recent graduates, that provide hands-on experience in applying mathematical, statistical, and programming skills to solve financial or business problems. Interns work under the guidance of experienced quantitative analysts, often known as 'quants', and assist in tasks such as data analysis, model development, and risk management. These internships are common in industries like finance, investment banking, and technology, and can serve as a stepping stone to full-time roles after graduation. Interns gain exposure to real-world quantitative methods, learn industry-standard tools and software, and develop critical problem-solving skills. Completing a quantitative analyst internship can significantly enhance a candidate’s employability in quantitative and analytical careers.

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

Quantitative Analyst Interns often work on projects involving data analysis, financial modeling, and algorithm development to support trading or risk management teams. These projects may include backtesting trading strategies, optimizing portfolio allocations, or analyzing large datasets to uncover market trends. Interns usually collaborate closely with experienced quantitative analysts, software engineers, and traders, gaining exposure to real-time problem-solving and decision-making. This hands-on experience not only strengthens analytical and programming skills but also provides valuable insights into the workflow of a professional quant team.

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

To thrive as a Quantitative Analyst Intern, you need strong quantitative and analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field. Familiarity with programming languages like Python, R, or MATLAB, and experience with data analysis tools and financial modeling software are highly valued. Attention to detail, problem-solving ability, and effective communication distinguish top candidates in this role. These skills are crucial for analyzing complex data sets, developing models, and communicating insights that drive informed financial decisions.
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Infographic showing various Quantitative Analyst Internships job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Researcher - Internship

New York, NY • On-site

WallStreetQuants
See more jobs at WallStreetQuantsexternal

Full-time

Re-posted yesterday

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