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Quantitative Economics Internships information

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$31K

$90.6K

$146K

How much do quantitative economics internships jobs pay per year?

As of Sep 2, 2026, the average yearly pay for quantitative economics internships in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are quantitative economics internships?

Quantitative Economics Internships are temporary positions designed for students or recent graduates to gain practical experience in applying mathematical and statistical methods to economic problems. Interns typically assist with data analysis, economic modeling, research projects, and preparing reports under the supervision of professional economists. These internships are valuable for developing technical skills using software such as Python, R, or Stata, and for understanding how economic theories are applied to real-world issues in industries like finance, government, or consulting. They also provide networking opportunities and can serve as a stepping stone to a career in economics or related fields.

What types of projects do quantitative economics interns typically work on during their internship?

Quantitative Economics interns often engage in projects involving data analysis, econometric modeling, and forecasting to support business or policy decisions. Tasks may include cleaning and interpreting large datasets, building statistical models, and working with programming languages like Python, R, or Stata. Interns frequently collaborate with economists, data scientists, and other team members to present findings and contribute to ongoing research. These projects provide hands-on experience and valuable insights into real-world economic issues, helping interns develop both technical and analytical skills.

What are the key skills and qualifications needed to thrive in quantitative economics internships, and why are they important?

To thrive in Quantitative Economics Internships, a solid background in economics, mathematics, and statistics—often supported by coursework or a relevant degree—is essential. Familiarity with data analysis tools such as R, Python, Stata, or Excel, and sometimes econometrics software, is typically expected. Strong analytical thinking, attention to detail, and clear communication skills help interns interpret data and present findings effectively. These skills and qualities enable interns to contribute valuable insights, support data-driven decisions, and succeed in collaborative research environments.

What is the difference between Quantitative Economics Internships vs Data Analyst Internships?

AspectQuantitative Economics InternshipsData Analyst Internships
Required skillsEconometrics, statistical analysis, economic modelingData manipulation, visualization, basic statistical skills
Work environmentResearch-focused, economic consulting, finance, or policy firmsBusiness, tech companies, finance, marketing departments
Employer usageUniversities, government agencies, economic research firmsCorporations, startups, consulting firms

Quantitative Economics Internships focus on economic theories, econometrics, and modeling, often in research or policy settings. Data Analyst Internships emphasize data handling, visualization, and reporting in business environments. While both roles require analytical skills, they serve different industry needs and career paths.

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What states have the most Quantitative Economics Internships jobs?

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What job categories do people searching Quantitative Economics Internships jobs look for?

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Quantitative Economics Internships jobs near you
Infographic showing various Quantitative Economics Internships job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Systematic Trading Internship - Master's: Summer 2027

Susquehanna

Bronx, NY

$8.6K/wk

Full-time, Temporary, Internship

Posted 6 days ago

Job description

Overview

As a Quantitative Systematic Trading 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

  • Masters (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 Research Internship program. There is no need to apply to both positions to be considered for both.

Opportunities as a quantitative systematic trading intern will be available in our Philadelphia and New York offices.

Master's quantitative systematic trading interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.

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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