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Quantitative Research Analyst Internship

Radnor, PA · On-site

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

Virtu Financial

$5.0K - $5.8K/wk

DEVELOPER INTERNSHIP Virtu's internship program offers students an extraordinary opportunity to ... Outstanding quantitative problemsolving skills and mathematical aptitude * Being comfortable with a ...

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How much do internship mathematical engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for internship mathematical engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Mathematical Engineer, and why are they important?

To thrive as an Internship Mathematical Engineer, you need a solid grasp of advanced mathematics, problem-solving abilities, and a background in engineering or applied mathematics, typically supported by current enrollment in a relevant degree program. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and data analysis tools is commonly expected. Strong analytical thinking, attention to detail, and effective teamwork skills make candidates stand out in this position. These competencies are crucial for accurately modeling complex systems, delivering innovative solutions, and collaborating efficiently within technical teams.

What does an Internship Mathematical Engineer do?

An Internship Mathematical Engineer works under the supervision of experienced engineers to apply mathematical theories and techniques to solve real-world engineering problems. Typical responsibilities include creating mathematical models, analyzing data, running simulations, and supporting research and development projects. Interns often collaborate with multidisciplinary teams, contribute to technical reports, and help optimize engineering processes. This role provides hands-on experience in applying math to fields like software development, data science, or industrial engineering.

What types of projects do Mathematical Engineering interns typically work on, and how do these projects contribute to the team?

As a Mathematical Engineering intern, you can expect to work on projects that involve developing mathematical models, analyzing large datasets, or creating simulations to solve real-world problems relevant to your team. These projects often support ongoing research, product development, or process optimization efforts, allowing you to apply theoretical knowledge in practical contexts. Interns frequently collaborate with senior engineers, data scientists, and software developers, gaining exposure to cross-functional teamwork and learning industry-standard tools. Your contributions can directly impact the team's outcomes, providing valuable experience and potential opportunities for future roles within the organization.
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Internship Mathematical Engineer jobs near you
Infographic showing various Internship Mathematical Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Posted 17 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.

Apply