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Quantitative Analysis Intern Jobs (NOW HIRING)

PACCAR

Data Analyst Intern Fall 2026

Columbus, MS · On-site

Strong quantitative and statistical analysis skills. * Ability to visualize and communicate data ... S. PACCAR intern, you have a full range of benefit options including: Competitive salary and 401k ...

PACCAR

Data Analyst Intern Fall 2026

Columbus, MS · On-site

Strong quantitative and statistical analysis skills. * Ability to visualize and communicate data ... S. PACCAR intern, you have a full range of benefit options including: • Competitive salary and ...

Wood Plc

GIS Analyst Intern

Knoxville, TN

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

Wood Plc

GIS Analyst Intern

Nashville, TN

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

Wood Plc

GIS Analyst Intern

Birmingham, AL

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

Compeer Financial

Quantitative Analyst

Bloomington, IL · On-site

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated ... Conducts ad hoc research and analysis. * Utilizes analytic tools (i.e. Python, SQL), data query ...

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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.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 15 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)