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Quant Internship information

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$2.4K

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$7.7K

How much do quant internship jobs pay per month?

As of Aug 4, 2026, the average monthly pay for quant internship in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What does a quant intern do?

As a Quant Intern, you can expect to work on a diverse set of projects that often include developing and backtesting trading algorithms, analyzing large financial datasets, and creating statistical models to identify market trends or inefficiencies. You may also assist in automating data collection processes and supporting the risk management team with quantitative research. Collaboration is common, as you'll likely work closely with full-time quantitative analysts, software engineers, and traders to solve real-world financial problems. These experiences provide valuable exposure to industry tools and workflows, offering a solid foundation for a career in quantitative finance.

What skills and qualifications are needed to thrive as a quant intern?

To thrive as a Quant Intern, you need a strong background in mathematics, statistics, and programming, typically supported by coursework or degrees in quantitative fields such as mathematics, physics, or computer science. Familiarity with programming languages like Python, R, or C++, and experience with data analysis tools and financial modeling software are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns solve complex problems and present their findings clearly. These skills and qualities are crucial for contributing to data-driven decision-making and supporting trading or research teams in a fast-paced financial environment.

What is a quant internship?

A Quant Internship is a short-term position, usually lasting 10-12 weeks, where students or early-career professionals work with quantitative teams at financial institutions like investment banks or hedge funds. Interns typically assist with data analysis, mathematical modeling, and algorithm development to support trading or risk management strategies. This experience provides practical exposure to quantitative finance and programming, helping interns build skills needed for a full-time quantitative analyst role.

What is the difference between Quant Internship vs Quant Analyst?

AspectQuant InternshipQuant Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldBachelor's or master's degree in finance, mathematics, or related field; sometimes certifications like CFA
Work EnvironmentInternship programs in financial firms, often temporary and training-focusedFull-time role in investment banks, hedge funds, or asset management firms
Employer & Industry UsageUsed by firms to evaluate potential future employees; common in finance industryProfessional role responsible for developing models, analyzing data, and supporting trading decisions

In summary, a Quant Internship is a temporary, training-focused position for students or recent graduates, while a Quant Analyst is a full-time professional role with ongoing responsibilities in quantitative finance. Internships often serve as a stepping stone to a full analyst position in the industry.

What cities are hiring for Quant Internship jobs? Cities with the most Quant Internship job openings:
What are the most commonly searched types of Quant jobs? The most popular types of Quant jobs are:
What states have the most Quant Internship jobs? States with the most job openings for Quant Internship jobs include:
Quant Internship jobs near you

Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Temporary, Internship

Re-posted 15 days ago

Job description

Overview
As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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