Quantitative Systematic Trading Internship - PhD: Summer 2027
Susquehanna·New York·United States·Hedge Fund & Quant
Susquehanna is hiring a Quantitative Systematic Trading Internship - PhD: Summer 2027 in New York. Posted 2026-06-29; applications close 2026-08-28 (in 55 days).
Role details
Overview
Quantitative Systematic Trading Internship - PhD: Summer 2027
Experience Level
Interns + Co-ops
Job Categories
Quantitative 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 a 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.
Opportunities as a quantitative systematic trading intern will be available in our Philadelphia and New York offices.
PhD quantitative systematic trading interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
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.
Contact
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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Application
Apply for this job online
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Applying to this role
This Quantitative Systematic Trading Internship - PhD: Summer 2027 role at Susquehanna runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for Quantitative Systematic Trading Internship - PhD: Summer 2027 at Susquehanna. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-07-03.
