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How much do math research internship jobs pay per month?

As of Aug 19, 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 August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group

Narberth, PA • On-site

Other

Posted 16 days ago

Job description

Overview

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect

  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna’s business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

What we’re looking for
  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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