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Internship Quantitative Trading Intern Jobs (NOW HIRING)

The Energy Authority Inc

Trading Intern, West

Bellevue, WA · On-site

$18.70 - $25.30/hr

**This internship requires the intern sit in our Bellevue office alongside our Traders. Remote option unavailable. Solely summer internship unavailable. Our internship length is generally 3 months to a ...

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Internship Quantitative Trading Intern information

How much do quant trader interns get paid?

Quantitative trading intern roles typically offer hourly wages ranging from $20 to $40, with some programs providing stipends or fixed summer salaries between $4,000 and $8,000 for internships lasting several weeks. Compensation can vary based on the firm, location, and the intern's experience and skills in programming, mathematics, and finance.

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 a solid grounding in mathematics, statistics, and programming, typically demonstrated through studies in fields like mathematics, physics, computer science, or engineering. Familiarity with programming languages such as Python, C++, or R, as well as experience with data analysis tools and financial modeling software, is highly valuable. Analytical thinking, attention to detail, and effective communication set top candidates apart in collaborative, high-pressure environments. These skills enable interns to contribute to complex trading strategies, quickly adapt to market changes, and work seamlessly within quant teams.

Is 30 an hour good for an intern?

For a Quantitative Trading Intern, $30 an hour is generally considered a competitive rate, especially for internships that require programming skills, data analysis, and knowledge of financial markets. Interns in this field often receive higher pay due to the technical expertise involved and the competitive nature of trading firms. However, pay can vary based on location, firm size, and internship duration.

What are some typical projects or tasks a Quantitative Trading Intern can expect to work on during their internship?

As a Quantitative Trading Intern, you will often work on projects such as analyzing market data, developing and backtesting trading strategies, and building or refining quantitative models using programming languages like Python or C++. You may also assist in automating trading processes, conducting statistical research, or optimizing existing algorithms. Interns typically collaborate closely with full-time traders, quantitative researchers, and software engineers, gaining exposure to real-world trading environments and workflows.

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

AspectInternship Quantitative Trading InternQuantitative Trading Analyst
CredentialsTypically pursuing or recent graduate in finance, math, or computer scienceBachelor's or master's degree in related field, often with some experience
Work EnvironmentInternship setting, learning-focused, supervisedFull-time, professional trading environment, more responsibility
Employer UsageUsed for entry-level, temporary positions in trading firmsFull-time role, core team member in trading desk

In summary, an Internship Quantitative Trading Intern is a temporary, learning-focused position for students or recent graduates, while a Quantitative Trading Analyst is a full-time professional role with greater responsibilities and experience requirements.

What does a quant trader intern do?

A quant trader intern supports quantitative trading teams by developing and testing algorithms, analyzing market data, and implementing trading strategies. They often use programming languages like Python or C++ and work with data analysis tools to optimize trading models under supervision. The role provides practical experience in financial markets and quantitative methods.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts and trading interns who have strong skills in mathematics, programming, and finance. These roles often require proficiency in programming languages like Python or C++ and a solid understanding of financial models. Internships in quantitative trading provide hands-on experience in developing trading strategies and risk management tools.

What does a Quantitative Trading Intern do?

A Quantitative Trading Intern assists in developing and implementing mathematical models and algorithms to inform trading strategies. They typically work with large datasets, use programming languages such as Python or C++, and collaborate with traders and quantitative analysts. The role often involves backtesting strategies, analyzing financial markets, and helping to optimize trading systems. This internship provides hands-on experience in financial markets and quantitative analysis, preparing students for careers in quantitative finance.
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Infographic showing various Internship Quantitative Trading Intern job openings in the United States as of June 2026, with employment types broken down into 16% Internship, 5% As Needed, 52% Full Time, 26% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Quantitative Systematic Trading Internship - PhD: Summer 2027

Quantitative Systematic Trading Internship - PhD: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Internship

Posted yesterday

Job description

Overview
As a Quantitative Systematic Trading 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 Research 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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