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Internship Quantitative Analyst Jobs (NOW HIRING)

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

  • Medical

  • Dental

  • Retirement

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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Internship Quantitative Analyst information

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$56.5K

$133.9K

$240K

How much do internship quantitative analyst jobs pay per year?

As of Aug 12, 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 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.

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.
More about Internship Quantitative Analyst jobs
What cities are hiring for Internship Quantitative Analyst jobs? Cities with the most Internship Quantitative Analyst job openings:
What are the most commonly searched types of Quantitative Analyst jobs? The most popular types of Quantitative Analyst jobs are:
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What job categories do people searching Internship Quantitative Analyst jobs look for? The top searched job categories for Internship Quantitative Analyst jobs are:
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 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Research Analyst

Stevens Capital Management LP - Full Time and Internships

Radnor, PA • On-site

Full-time

Re-posted 29 days ago

Job description

We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. Remote work opportunities are not available to residents of New York City or to residents of Colorado.
Primary Responsibilities
  • Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
  • Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.

Requirements
  • A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
  • Programming experience, ideally including R, C++ and/or Python.
  • Strong working knowledge of regression, time series analysis and other statistical techniques.
  • Experience building, organizing and analyzing large data sets is preferred.
  • The ability to comprehend and synthesize academic literature in finance, economics and statistics.
  • Strong financial market interest.
  • The ability to simplify and effectively communicate complex concepts.

Apply