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Quantitative Analysis Intern Jobs (NOW HIRING)

KME.digital

Digital Marketing Intern

Alexandria, VA

Excellent analytical and quantitative skills, a passion for metrics and quantitative analysis, ability to turn analysis into actionable programs, and ability to use data to optimize day-to-day ...

KME Digital

Digital Marketing Intern

Alexandria, VA · On-site

Excellent analytical and quantitative skills, a passion for metrics and quantitative analysis, ability to turn analysis into actionable programs, and ability to use data to optimize day-to-day ...

Rialto Capital

2026 Summer Internship

Miami, FL

$14.25 - $17.25/hr

An intern in this group will be responsible for performing qualitative and quantitative analysis and subsequently presenting conclusions to the team's approval committee. CMBS Loan Workout

Rialto Capital

2026 Summer Internship

Miami, FL · On-site

$14.25 - $17.25/hr

An intern in this group will be responsible for performing qualitative and quantitative analysis and subsequently presenting conclusions to the team's approval committee. CMBS Loan Workout

Copart, Inc.

Strategic Analyst Intern

Dallas, TX · On-site

Utilize quantitative analysis of large amounts of data surrounding financial, operational, and sales performance to make strategic or tactical recommendations * Support sales efforts by providing ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to ... quantitative discipline. Relevant work experience is preferred. Preferred Skills: Technical ...

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All JobsQuantitative Analysis Intern Jobs

Quantitative Analysis Intern information

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$21.5K

$75.1K

$164.5K

How much do quantitative analysis intern jobs pay per year?

As of Jun 22, 2026, the average yearly pay for quantitative analysis intern in the United States is $75,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $99,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Analysis Intern, and why are they important?

To thrive as a Quantitative Analysis Intern, you need a solid background in mathematics, statistics, and data analysis, often supported by coursework in quantitative fields such as finance, economics, or engineering. Familiarity with programming languages like Python or R, Excel, and statistical software is typically required, along with knowledge of data visualization tools. Strong problem-solving abilities, attention to detail, and effective communication set standout interns apart in this role. These skills are crucial for accurately analyzing complex data, communicating insights, and supporting data-driven decision-making in a fast-paced environment.

What is the difference between Quantitative Analysis Intern vs Quantitative Analyst?

AspectQuantitative Analysis InternQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldsBachelor's or master's degree in a quantitative field; certifications like CFA or FRM are common
Work EnvironmentInternship setting, often part-time or summer roles within finance firms or banksFull-time professional role in investment firms, banks, or hedge funds
Employer & Industry UsageUsed by firms to train and evaluate potential future analystsCore role responsible for developing models, analyzing data, and supporting investment decisions

In summary, a Quantitative Analysis Intern is an entry-level position aimed at gaining experience, while a Quantitative Analyst is a full-time professional responsible for in-depth data analysis and model development within the finance industry.

What types of projects and tasks can a Quantitative Analysis Intern expect to work on during their internship?

As a Quantitative Analysis Intern, you can expect to assist with data collection, cleaning, and statistical analysis to support ongoing research or trading strategies. Interns often work closely with senior analysts and team members to develop predictive models, backtest strategies, and prepare reports on their findings. It's common to collaborate with professionals in both technology and finance, gaining exposure to real-world applications of quantitative methods. This hands-on experience helps interns build both technical and communication skills, while also providing insight into the fast-paced environment of quantitative finance.

What does a Quantitative Analysis Intern do?

A Quantitative Analysis Intern typically assists with analyzing data, creating statistical models, and supporting financial or business decision-making using quantitative methods. They may work with programming languages like Python or R, and tools such as Excel to interpret large datasets. Their work often involves researching financial markets, testing strategies, and presenting findings to senior analysts or managers. This role provides hands-on experience in applying mathematical and statistical techniques to real-world problems in finance, consulting, or technology firms.
What cities are hiring for Quantitative Analysis Intern jobs? Cities with the most Quantitative Analysis Intern job openings:
What are the most commonly searched types of Quantitative Analysis jobs? The most popular types of Quantitative Analysis jobs are:
What states have the most Quantitative Analysis Intern jobs? States with the most job openings for Quantitative Analysis Intern jobs include:
Quantitative Analysis Intern jobs near you
Infographic showing various Quantitative Analysis Intern job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $75,125 per year, or $36.1 per hour.

Undergraduate Intern Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

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 backgroundsincluding mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fieldswho 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 Bachelors 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 Youll 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