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Internship Financial Mathematics Jobs (NOW HIRING)

FIC

Corporate Financial Analyst

Seattle, WA · On-site

$100K/yr

A bachelors degree in accounting, finance, mathematics, statistics, or other business or STEM-related disciplines * Internship or extracurricular experience in finance, accounting, and/or capital ...

Nestle

2027 Finance & Accounting Internship

Solon, OH

$25.50/hr

Apply now to the 2027 Finance & Accounting Internship program to unlock your full potential at the ... Related majors may include Economics, Business, Math, Supply Chain, Operations, and Industrial ...

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How much do internship financial mathematics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship financial mathematics in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

What is an internship in financial mathematics?

An internship in financial mathematics is a temporary, hands-on position typically offered to students or recent graduates interested in applying mathematical and statistical methods to finance. Interns work with professionals in areas such as risk management, investment analysis, or quantitative research, often within banks, hedge funds, or financial consulting firms. The experience provides practical exposure to financial modeling, data analysis, programming, and the use of quantitative tools to solve real-world financial problems. Internships help bridge the gap between academic learning and professional practice, often leading to full-time job opportunities in the field.

What types of projects or tasks can I expect to work on during an internship in financial mathematics?

As an intern in Financial Mathematics, you will typically work on projects involving quantitative analysis, financial modeling, or data analytics. Common tasks may include developing and testing pricing models for financial instruments, analyzing large financial datasets, assisting with risk assessment, and supporting senior analysts or researchers with model validation. You will likely collaborate closely with professionals from finance, IT, and data science departments, gaining exposure to real-world applications of mathematical concepts in finance. This hands-on experience helps build both technical and teamwork skills essential for a career in quantitative finance.

What are the key skills and qualifications needed to thrive as an intern in financial mathematics?

To excel as an intern in Financial Mathematics, a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree, is essential. Familiarity with programming languages such as Python or R, and experience using statistical analysis software or financial modeling tools, is typically expected. Strong analytical thinking, attention to detail, and effective communication skills distinguish top candidates in this role. These competencies are crucial for accurately analyzing financial data, solving complex problems, and contributing meaningful insights to teams in a fast-paced financial environment.
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Internship Financial Mathematics jobs near you
Infographic showing various Internship Financial Mathematics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Internship

Re-posted 7 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.