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Math Research Internship Jobs (NOW HIRING)

Jump Trading

$300K/yr

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... The quant research internship is an intensive 10-week program focused on enhancing your ...

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How much do math research internship jobs pay per month?

As of Sep 9, 2026, the average monthly pay for math research internship in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is a math research internship?

A Math Research Internship is a temporary position, often held by undergraduate or graduate students, where participants work on mathematical research projects under the guidance of experienced mentors or faculty. These internships provide hands-on experience in applying mathematical theories, developing new approaches to problem-solving, and sometimes contributing to publishable research. Interns gain exposure to real-world applications of mathematics and build valuable skills for academic or industry careers. Math research internships can be found at universities, research institutes, and companies that rely on advanced mathematics.

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

To thrive as a Math Research Intern, you need a solid background in advanced mathematics, analytical thinking, and problem-solving, typically supported by progress toward a relevant degree. Familiarity with mathematical software such as MATLAB, Mathematica, or Python, as well as experience with data analysis and LaTeX for documentation, is often expected. Strong communication, collaboration, and perseverance help interns contribute effectively to research teams and present findings clearly. These skills are crucial for tackling complex problems, advancing research objectives, and communicating results within academic or industry environments.

What types of projects do math research interns typically work on, and how are they integrated into ongoing research teams?

Math research interns often contribute to ongoing projects in areas such as data analysis, algorithm development, statistical modeling, or pure mathematical theory, depending on the organization's focus. Interns usually work under the guidance of a lead researcher or mentor and participate in regular team meetings, progress reviews, and collaborative problem-solving sessions. This structure helps interns gain exposure to real-world research processes and encourages skill development through hands-on experience and feedback. The collaborative environment also allows interns to build professional connections and learn from experienced mathematicians.

What is the difference between Math Research Internship vs Data Analyst?

AspectMath Research InternshipData Analyst
Required CredentialsTypically pursuing or holding a degree in mathematics, statistics, or related fieldsOften requires a degree in statistics, mathematics, or data science
Work EnvironmentAcademic or research institutions, universities, or research labsCorporate, finance, healthcare, or tech companies
Industry UsageUsed in academic research, scientific studies, and theoretical projectsApplied in business analytics, market research, and data-driven decision making

While both roles involve quantitative skills and data analysis, a Math Research Internship focuses on theoretical and academic research in mathematics, often within educational or research institutions. In contrast, a Data Analyst applies data analysis techniques to solve practical business problems in various industries.

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Math Research Internship jobs near you
Infographic showing various Math Research Internship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Quantitative Researcher - Internship

New York, NY • On-site

WallStreetQuants
See more jobs at WallStreetQuantsexternal

Internship

Re-posted 25 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.