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Quant Research Internships Jobs (NOW HIRING)

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

... rigorous research, state-of-the-art machine learning methods, a broad range of public and ... Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

... rigorous research, state-of-the-art machine learning methods, a broad range of public and ... Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

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How much do quant research internships jobs pay per year?

As of Jun 12, 2026, the average yearly pay for quant research internships in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What types of projects or responsibilities can I expect as a Quant Research Intern?

As a Quant Research Intern, you can expect to work on projects involving quantitative analysis, data cleaning and processing, statistical modeling, and assisting in the development and backtesting of trading strategies. Your daily responsibilities may include collaborating with full-time quantitative researchers, analyzing large datasets, and presenting your findings to your team. You’ll likely work with programming languages such as Python or R, and may utilize statistical or machine learning techniques. This hands-on experience provides valuable insight into the workflow of quantitative research and is an excellent stepping stone for pursuing full-time roles in the industry.

What are the key skills and qualifications needed to thrive in the Quant Research Internships position, and why are they important?

To thrive in Quant Research Internships, a strong background in mathematics, statistics, programming (such as Python or R), and quantitative analysis is essential, often supported by ongoing studies in fields like mathematics, physics, engineering, or finance. Proficiency with data analysis tools, programming languages, and sometimes experience with machine learning libraries or databases is highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns excel in team-driven, research-heavy environments. These capabilities enable interns to contribute meaningful insights and value to fast-paced quantitative research teams addressing complex financial or data-driven problems.

What is a Quant Research Internships job?

A Quant Research Internship involves using mathematical, statistical, and programming skills to analyze financial data and develop trading strategies. Interns work with quantitative researchers and traders to identify patterns, test models, and optimize algorithms. The role typically requires proficiency in programming languages like Python or C++, a strong foundation in probability and statistics, and knowledge of financial markets.

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What cities are hiring for Quant Research Internships jobs? Cities with the most Quant Research Internships job openings:
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Quant Research Internships jobs near you
Infographic showing various Quant Research Internships job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Quantitative Research Internship - Master's: Summer 2027

Quantitative Research Internship - Master's: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Temporary, Internship

Posted 23 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
  • Masters (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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