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Quantitative Economics Internships Jobs (NOW HIRING)

Cal Poly Pomona

Lecturer AY - Economics

Pomona, CA · On-site

We also offer an MS degree in Quantitative Economics. Both the BS and MS degrees are STEM ... and internships. The MS requires 30 units with all required courses offered evenings. Our 4+1 ...

CalPolyPomona

Lecturer AY - Economics

Pomona, CA · On-site

We also offer an MS degree in Quantitative Economics. Both the BS and MS degrees are STEM ... and internships. The MS requires 30 units with all required courses offered evenings. Our 4+1 ...

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

Opportunities, including full-time summer internships and part-time work throughout the school year ... econometrics, mathematics, engineering, physics or computer science) or finance (with extensive ...

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Quantitative Economics Internships information

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$146K

How much do quantitative economics internships jobs pay per year?

As of Aug 7, 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 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 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 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.

More about Quantitative Economics Internships jobs
What cities are hiring for Quantitative Economics Internships jobs? Cities with the most Quantitative Economics Internships job openings:
What states have the most Quantitative Economics Internships jobs? States with the most job openings for Quantitative Economics Internships jobs include:
What job categories do people searching Quantitative Economics Internships jobs look for? The top searched job categories for Quantitative Economics Internships jobs are:
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 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Internship

Posted 22 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.