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Quantitative Analyst Internships Jobs (NOW HIRING)

Opportunities, including full-time summer internships and part-time work throughout the school year ... Read and analyze academic research or other source material pertaining to anomalies in the global ...

Quantitative Associate

Durham, NC · On-site

$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 Jul 28, 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 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.

What are Quantitative Analyst Internships?

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.
More about Quantitative Analyst Internships jobs
What cities are hiring for Quantitative Analyst Internships jobs? Cities with the most Quantitative Analyst Internships job openings:
Infographic showing various Quantitative Analyst Internships job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Full-time, Part-time, Internship

Posted 14 days ago


Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary Responsibilities
  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements
  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.