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Quantitative Finance Intern Jobs (NOW HIRING)

The Finance MBA Intern partners with business and finance leaders to analyze complex business ... Use quantitative analysis, financial modeling, and business insights to evaluate performance ...

Quantitative Developer Intern

Chicago, IL

$19.75 - $26/hr

If you are looking to join a small, dynamic, growing firm in the financial technology sector, you ... An internship at BlackEdge will give you a taste of life as a quantitative developer in the options ...

Quantitative Developer Intern

Chicago, IL · On-site

$19.75 - $26/hr

If you are looking to join a small, dynamic, growing firm in the financial technology sector, you ... An internship at BlackEdge will give you a taste of life as a quantitative developer in the options ...

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Quantitative Finance Intern information

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How much do quantitative finance intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for quantitative finance intern 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 does a quantitative finance intern do?

A Quantitative Finance Intern works on developing and implementing mathematical models to analyze financial data, assess risk, and support trading or investment strategies. They use programming languages like Python, R, or C++ to process large datasets and apply statistical or machine learning techniques. Interns often collaborate with traders, quantitative analysts, and software engineers to optimize financial models and improve decision-making. This role provides hands-on experience in quantitative research, algorithmic trading, or risk management within financial institutions.

What kinds of projects or tasks does a quantitative finance intern typically work on during their internship?

Quantitative Finance Interns often work on projects involving data analysis, financial modeling, and the development or back-testing of trading strategies under the supervision of senior analysts or portfolio managers. Typical tasks may include manipulating large datasets, applying statistical or mathematical models, coding algorithms, and preparing presentations or reports for stakeholders. Interns frequently collaborate with team members across research, trading, and risk management divisions, gaining exposure to real-world financial problem-solving. This role offers a hands-on learning environment that helps build practical skills and can open the door to full-time opportunities within the firm.

What are the key skills and qualifications needed to thrive as a quantitative finance intern?

To thrive as a Quantitative Finance Intern, you need strong skills in mathematics, statistics, data analysis, and a background in finance, economics, or a related quantitative field. Proficiency with programming languages such as Python, R, or MATLAB, along with familiarity with financial modeling tools and Excel, is typically required. Excellent problem-solving abilities, attention to detail, and communication skills help you collaborate effectively within dynamic teams. These competencies are crucial for analyzing complex financial data and contributing meaningful insights in fast-paced finance environments.

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What are the most commonly searched types of Quantitative Finance jobs?

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What states have the most Quantitative Finance Intern jobs?

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Infographic showing various Quantitative Finance Intern job openings in the United States as of August 2026, with employment types broken down into 75% Internship, and 25% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 18 days ago


Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension