Quantitative Systematic Trading Internship - PhD: Summer 2026
About The Position
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. 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 If you're a recruiting agency and want to partner with us, please reach out to [email protected] . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-Onsite
Requirements
- 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
Responsibilities
- 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
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
