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Internship Financial Mathematics Jobs (NOW HIRING)

$5.0K - $5.8K/wk

Virtu is an industry-leading financial technology firm that operates both proprietary trading and ... Outstanding quantitative problemsolving skills and mathematical aptitude * Some programming ...

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Internship Financial Mathematics information

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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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What are the most commonly searched types of Financial Mathematics jobs?

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States with the most job openings for Internship Financial Mathematics jobs include:

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.

Business Systems Administration Internship

Argonne National Laboratory

Lemont, IL • On-site

$18.08 - $39.17/hr

Full-time

Re-posted 8 days ago


Job description

Focus of the Business Systems Administration internship is to develop skills and apply knowledge to advance system maintenance and implementation initiatives in the Financial Management and Procurement Services (FMPS) division. Business Systems Administration internship will analyze business processes, identify inefficiencies, assess information requirements, and create powerful business solutions using technology.
  • Learn and practice skills in supporting a financial management and procurement services team with improvements in service quality to achieve best-in-class standards.
  • Use various software solutions to aggregate and analyze data to aid the organization in better decision-making to achieve optimized operations.
  • Use accounting, finance, supply chain, and statistics education to collect, analyze, model, and interpret data.
  • Deliver effective communication with division staff and leadership.
  • Learn from experience staff on data mining from ERP/business systems such as Workday.
  • Work within a team that fosters transparency and collaboration.

Education and Experience Requirements
  • Must be a U.S. citizen.
  • Must be currently enrolled full-time at an accredited institution and have completed at least one semester of schooling by the start of the program.
  • Must be 18 years or older at the time the appointment begins.
  • If accepting an offer, must pass a screening drug test.
  • Majors: Management Information Systems, Finance, Mathematics, Statistics, Industrial Engineering, Business Analytics
  • Departments: Business Systems and Transformation, Financial Management, and Budget.
  • Completed at least two years of undergraduate academics in business logistics analytics, computer science, industrial engineering, mathematics, statistics or similar program and maintain a cumulative GPA of 3.0 on 4.0 scale.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Ability to be a highly motivated and self-starting and seeking a future career in a business profession.
  • Desire to learn about modernizing business disciplines of accounting, business administration, economics, finance, etc. through integration with data analysis, Artificial Intelligence, Machine Learning, and Data Visualization.
  • Ability to negotiate between large scale project goals and individual work assignments
  • Ability to assist in difficult situations and keep composure and confidence.
  • Experience with Microsoft Office Products (Word, Outlook, Excel) required,
  • Knowledge of and experience with Power BI, Tableau, "R" programming preferred
  • Great aptitude for math and processing logic.
  • Excellent written and oral communication skills.

Job Family
Undergraduate Student Employment
Job Profile
Professional Career Internship - Sophomore
Worker Type
Employee
Time Type
Full time
Scheduled Weekly Hours
40
Pay Rate Type
Hourly
The expected hiring range for this position is $18.08 - $39.17.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
EEO Information
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers for appointments in the student employment category are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.