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Quantitative Research Intern Jobs (NOW HIRING)

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Quantitative Research Intern information

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How much do quantitative research intern jobs pay per month?

As of Aug 12, 2026, the average monthly pay for quantitative research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What are some typical projects a quantitative research intern might work on during their internship?

As a Quantitative Research Intern, you can expect to work on projects such as developing and backtesting trading algorithms, analyzing large datasets to identify market patterns, or implementing statistical models to forecast financial trends. Interns often collaborate closely with experienced researchers and traders, contributing to both ongoing research initiatives and exploratory projects. These experiences not only enhance technical and analytical skills but also provide exposure to real-world financial problem-solving in a dynamic team environment.

What does a quantitative research intern do?

A Quantitative Research Intern typically assists in analyzing large datasets, developing mathematical models, and conducting statistical analysis to support decision-making in fields like finance, technology, or academia. Their responsibilities may include data cleaning, programming, running simulations, and generating reports on findings. Interns work closely with experienced quantitative researchers and may contribute to ongoing research projects or help develop new methodologies. This role is ideal for students or recent graduates with strong analytical skills and an interest in applying mathematics and statistics to solve real-world problems.

Do quantitative research interns get paid?

Quantitative research interns are typically paid for their work, with compensation often based on hourly wages or stipends. Payment amounts can vary depending on the company, location, and internship duration, and some internships may also offer academic credit instead of monetary compensation.

What are the key skills and qualifications needed to thrive as a quantitative research intern, and why are they important?

To thrive as a Quantitative Research Intern, you need strong analytical abilities, a solid foundation in statistics and mathematics, and progress toward a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or MATLAB, and experience using statistical analysis tools or platforms, are typically required. Attention to detail, problem-solving skills, and effective communication set candidates apart in this role. These skills enable you to analyze complex data, generate actionable insights, and clearly present findings to support data-driven decision-making.

What is a quantitative research intern?

A quantitative research intern is a role focused on collecting and analyzing numerical data to support business or academic research. The position typically involves using statistical tools and software, such as Excel or SPSS, and requires strong analytical skills and attention to detail. Interns often assist with data collection, cleaning, and reporting under the supervision of experienced researchers.
More about Quantitative Research Intern jobs
What cities are hiring for Quantitative Research Intern jobs? Cities with the most Quantitative Research Intern job openings:
What are the most commonly searched types of Quantitative Research jobs? The most popular types of Quantitative Research jobs are:
What states have the most Quantitative Research Intern jobs? States with the most job openings for Quantitative Research Intern jobs include:
Infographic showing various Quantitative Research Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Quantitative Research Internship - PhD: Summer 2027 - Susquehanna International Group

Susquehanna International Group

Manhattan, NY โ€ข On-site

$8.6K/wk

Full-time

Posted 20 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.
Opportunities as a quantitative research intern will be available in our Philadelphia and New York offices.
PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
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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