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Quantitative Trading Internship Jobs (NOW HIRING)

... internship, your work is reinforced with intensive classes, workshops, and team-based mock trading ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

... internship, your work is reinforced with intensive classes, workshops, and team-based mock trading ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading ... internship * Meaningful projects: Each project, advised by a trader, promotes a comprehensive ...

Commodity Trading Internship - 2027

Wayzata, MN · On-site

$15.25 - $20.25/hr

Our Commodity Trading internship program enables the individual to build relationships with ... Strong analytical, quantitative, and problem-solving skills * Sound judgment and decision-making ...

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Quantitative Trading Internship information

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$11K

$129.7K

$198K

How much do quantitative trading internship jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative trading internship in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a quantitative trading internship?

A Quantitative Trading Internship is a temporary position, typically for students or recent graduates, where interns work with quantitative trading teams to analyze financial data, develop trading strategies, and implement algorithms. Interns often use programming languages like Python or C++ and statistical tools to identify patterns in market data. The role offers hands-on experience in financial markets, quantitative research, and trading technology, making it an excellent pathway for those interested in quantitative finance. Interns may also collaborate with traders and researchers, learn risk management concepts, and gain exposure to real-time trading environments.

What are the key skills and qualifications needed to thrive as a quantitative trading intern?

To thrive as a Quantitative Trading Intern, you need strong quantitative skills, proficiency in mathematics or statistics, and a background in finance, engineering, computer science, or a related field. Familiarity with programming languages such as Python, C++, or R, as well as experience with data analysis tools and financial modeling, is highly valued. Analytical thinking, attention to detail, and the ability to work collaboratively under pressure are crucial soft skills. These competencies are essential for efficiently analyzing market data, developing trading strategies, and contributing effectively within a fast-paced trading environment.

What are some typical challenges faced by interns during a quantitative trading internship, and how can they overcome them?

Interns in quantitative trading often encounter challenges such as adapting to fast-paced environments, mastering proprietary trading tools, and bridging the gap between theoretical knowledge and real-world market dynamics. To overcome these, it’s helpful to proactively seek feedback from mentors, collaborate closely with team members, and dedicate time to practicing coding and data analysis skills. Being open to learning from mistakes and asking questions can also accelerate your growth and help you make meaningful contributions during your internship.

What is the difference between Quantitative Trading Internship vs Quantitative Trading Analyst?

AspectQuantitative Trading InternshipQuantitative Trading Analyst
Required CredentialsTypically pursuing or recent graduate with strong math, programming, or finance backgroundBachelor's or master's in finance, mathematics, or related field; some roles prefer certifications like CFA
Work EnvironmentInternship programs within trading firms, often part-time or summer rolesFull-time position within trading desks or financial firms
Employer & Industry UsageUsed by hedge funds, proprietary trading firms, investment banks for trainingUsed by firms for ongoing trading strategy development and execution

The main difference is that a Quantitative Trading Internship is an entry-level, temporary position aimed at gaining experience, while a Quantitative Trading Analyst is a full-time role focused on developing and executing trading strategies. Internships serve as a stepping stone to analyst roles, which require more experience and responsibility.

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What cities are hiring for Quantitative Trading Internship jobs?

Cities with the most Quantitative Trading Internship job openings:

What are the most commonly searched types of Quantitative Trading jobs?

The most popular types of Quantitative Trading jobs are:

What states have the most Quantitative Trading Internship jobs?

States with the most job openings for Quantitative Trading Internship jobs include:

Infographic showing various Quantitative Trading Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Quantitative Research Internship - Master's: Summer 2027 - Susquehanna International Group

Susquehanna International Group

Bala Cynwyd, PA • On-site

Full-time

Posted 26 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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