Internship Financial Mathematics information
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$11.54 - $12.89
1% of jobs
$12.89 - $14.25
6% of jobs
$14.25 - $15.60
8% of jobs
$16.79 is the 25th percentile. Wages below this are outliers.
$15.60 - $16.96
11% of jobs
$16.96 - $18.31
13% of jobs
The median wage is $19.33 / hr.
$18.31 - $19.67
15% of jobs
$19.67 - $21.02
9% of jobs
$21.98 is the 75th percentile. Wages above this are outliers.
$21.02 - $22.38
17% of jobs
$22.38 - $23.73
16% of jobs
$23.73 - $25.09
2% of jobs
$25.09 - $26.44
2% of jobs
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.
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.
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.
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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