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Quantitative Trading Internship Jobs (NOW HIRING)

Virtu Financial

$5.0K - $5.8K/wk

Quant Trading Internship Virtu's internship program offers students an extraordinary opportunity to learn about the firm and the world's financial markets. We have built a thoughtful and challenging ...

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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 Jul 29, 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 are the key skills and qualifications needed to thrive as a Quantitative Trading Intern, and why are they important?

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 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 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.

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.
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What cities are hiring for Quantitative Trading Internship jobs? Cities with the most Quantitative Trading Internship job openings:
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Quantitative Trading Internship jobs near you
Infographic showing various Quantitative Trading Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 5 days ago

Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science