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

AspectInternship Quantitative TraderQuantitative Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften holds or pursuing advanced degrees (Master's or PhD) in finance, mathematics, or statistics
Work EnvironmentInternship setting within trading firms or hedge funds, focused on supporting trading strategiesOffice-based, analyzing data, developing models, and providing insights for trading decisions
Employer & Industry UsageUsed in trading firms, hedge funds, and financial institutions involved in quantitative tradingCommon in investment banks, asset management firms, and financial institutions

While both roles involve quantitative skills and data analysis, an Internship Quantitative Trader focuses on supporting trading activities during an internship, often with less experience required. A Quantitative Analyst typically has more experience or advanced education, developing models and strategies to inform trading decisions.

What cities are hiring for Internship Quantitative Trader jobs? Cities with the most Internship Quantitative Trader job openings:
What are the most commonly searched types of Quantitative Trader jobs? The most popular types of Quantitative Trader jobs are:
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Internship Quantitative Trader jobs near you
Quantitative Systematic Trading Internship - Master's: Summer 2027

Quantitative Systematic Trading Internship - Master's: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Internship

Posted 19 days ago

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
  • 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 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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