Quantitative Research Internship - PhD: Summer 2026

Susquehanna International Group, LLP•New York, NY

54d•Onsite

About The Position

As a Quantitative Research 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.

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

Nice To Haves

experience with C++ (or another low-level language)

Responsibilities

Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
Create strategies to execute on modelling ideas under simulated competition
Backtest ideas using historical market data and revise strategies
Explore all aspects of quant work and different areas of Susquehanna’s business
Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business