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Internship Mathematical Programming Jobs (NOW HIRING)

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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 ...

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Internship Mathematical Programming information

What is the difference between Internship Mathematical Programming vs Data Analyst Intern?

AspectInternship Mathematical ProgrammingData Analyst Intern
Required SkillsMathematical modeling, programming, optimizationData analysis, statistics, visualization
Work EnvironmentResearch labs, tech companies, finance firmsBusiness, marketing, tech companies
Typical TasksDevelop algorithms, solve optimization problemsAnalyze datasets, generate reports
Industry UsageResearch, finance, techBusiness, marketing, consulting

Internship Mathematical Programming focuses on developing algorithms and solving complex mathematical problems, often in research or technical environments. Data Analyst Interns primarily analyze data sets to inform business decisions. While both roles involve data and programming skills, their applications and industries differ significantly.

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Internship Mathematical Programming jobs near you
Infographic showing various Internship Mathematical Programming job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Posted 13 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