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Quant Researcher Internship Jobs (NOW HIRING)

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Quant Researcher Internship information

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$52.5K

$119.2K

$196.5K

How much do quant researcher internship jobs pay per year?

As of Jul 26, 2026, the average yearly pay for quant researcher internship in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

Do JP Morgan hire quants?

JP Morgan hires quantitative researchers, often called quants, for roles in trading, risk management, and technology. These positions typically require strong skills in mathematics, programming, and financial modeling, and may involve working with tools like Python, R, or MATLAB. Internships and entry-level roles are available for candidates with relevant academic backgrounds and technical expertise.

What is the difference between Quant Researcher Internship vs Quant Analyst?

AspectQuant Researcher InternshipQuant Analyst
CredentialsTypically pursuing or recent graduate with degrees in math, finance, or computer scienceOften holds a similar degree, sometimes with professional certifications
Work EnvironmentInternship setting, learning-focused, often in financial firms or hedge fundsFull-time role, more responsibility, involved in ongoing projects
Industry UsageCommon as a training position for future full-time quant rolesStandard role in quantitative finance teams
Search & Comparison IntentEntry-level, learning opportunities, internship programsCareer advancement, full-time employment, role responsibilities

The main difference between a Quant Researcher Internship and a Quant Analyst is that the internship is a temporary, learning-focused position designed for students or recent graduates, while a Quant Analyst is a full-time professional role with greater responsibilities in developing and implementing quantitative strategies within financial firms.

How much do quant interns earn?

Quant research interns typically earn between $20 and $40 per hour, with total stipends ranging from $4,000 to $8,000 for summer internships. Compensation varies based on the firm, location, and the intern's educational background and skills in programming and quantitative analysis.

Are quant researchers in demand?

Quant researchers are in high demand in financial services, hedge funds, and asset management firms due to their expertise in quantitative analysis, programming, and statistical modeling. The role often requires strong skills in programming languages like Python or C++ and knowledge of financial markets, with demand driven by the increasing reliance on data-driven decision making and algorithmic trading.
More about Quant Researcher Internship jobs
What cities are hiring for Quant Researcher Internship jobs? Cities with the most Quant Researcher Internship job openings:
What are the most commonly searched types of Quant Researcher jobs? The most popular types of Quant Researcher jobs are:
What states have the most Quant Researcher Internship jobs? States with the most job openings for Quant Researcher Internship jobs include:
Infographic showing various Quant Researcher Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY โ€ข On-site

Internship

Posted 11 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 bachelorโ€™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 Youโ€™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.