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$56.5K

$133.9K

$240K

How much do internship quantitative analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for internship quantitative analyst 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 an internship quantitative analyst?

An Internship Quantitative Analyst is a student or recent graduate who works temporarily at a financial institution, such as a bank or investment firm, to support quantitative research and analysis. Their main responsibilities include analyzing financial data, building statistical models, and assisting senior analysts in making investment decisions. This role provides hands-on experience with data analysis tools, programming languages, and financial modeling techniques. It is designed to help interns develop essential quantitative and analytical skills while gaining insight into how financial markets operate.

What types of projects or tasks can an internship quantitative analyst expect to work on during their internship?

As an Internship Quantitative Analyst, you can expect to work on a variety of data-driven projects such as building and testing financial models, analyzing large datasets to identify trends or anomalies, and assisting in the development of trading strategies. You'll often collaborate closely with senior quants, traders, and software engineers, contributing to both short-term research tasks and longer-term initiatives. This hands-on experience will help you gain practical skills in programming, statistical analysis, and financial theory, while also exposing you to the fast-paced, collaborative environment typical of quantitative finance teams.

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

To thrive as an Internship Quantitative Analyst, you typically need strong analytical skills, proficiency in mathematics or statistics, and enrollment in a relevant degree program such as finance, mathematics, or computer science. Familiarity with programming languages like Python, R, or MATLAB, and experience with statistical modeling tools are often required. Attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills and qualities are crucial for accurately analyzing data, developing models, and communicating insights that drive informed financial decisions.

What is the difference between Internship Quantitative Analyst vs Quantitative Analyst?

AspectInternship Quantitative AnalystQuantitative Analyst
CredentialsTypically pursuing or recent graduate, some programming or finance courseworkBachelor's or master's in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentInternship programs, supervised, learning-focusedFull-time, professional setting, responsible for analysis and model development
Employer & Industry UsageFinancial firms, hedge funds, investment banks during internship periodsSame industries, with ongoing roles after internship

The main difference is that an Internship Quantitative Analyst is a temporary, learning-focused position for students or recent graduates, while a Quantitative Analyst is a full-time professional responsible for developing and implementing complex financial models. Internships serve as a stepping stone toward a full career in quantitative finance.

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Internship Quantitative Analyst jobs near you
Infographic showing various Internship Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY

Full-time

Re-posted 19 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