Quantitative Systematic Trading Internship PhD Summer 2027

At Susquehanna quantitative systematic traders tackle challenging data and algorithmic problems that inform decision-making in global financial markets. Their work spans signal generation execution market microstructure portfolio construction risk management simulation and large-scale data analysis drawing from a broad quantitative toolkit to build strategies that trade in live markets.

As a Quantitative Systematic Trading Intern youll gain experience that closely reflects the work of our full-time research teams while participating in a structured education program designed to accelerate your development. Through hands-on research mentorship and close collaboration with researchers engineers and traders youll explore open-ended questions design experiments develop quantitative models and evaluate ideas through rigorous empirical analysis and backtesting.

Susquehannas extensive proprietary datasets and large-scale computing infrastructureincluding a rapidly growing cluster of thousands of high-end GPUssupport computationally intensive research large-scale simulation and rapid experimentation. Our teams work in small highly collaborative teams where ideas are debated openly evidence guides decisions and promising research can quickly produce practical impact.

Your Internship Experience

Your internship begins with Core Curriculum an immersive interdisciplinary program where Your internship begins with Core Curriculum an immersive interdisciplinary program in which quantitative and machine learning researchers traders and software engineers learn together. Youll build a shared foundation in quantitative trading programming data analysis mathematical modeling and modern machine learning and AI tools before applying those concepts to real-world problems.

Youll spend the rest of the summer on the Blast Projectan end-to-end simulation of quantitative work at Susquehanna. Youll research and develop a model turn it into a trading strategy and run that strategy against high-fidelity historical market data. Each day youll receive measurable feedback on its performance allowing you to test hypotheses refine your approach and iterate rapidlymuch as our research and trading teams do.

The project is deliberately broad. Rather than exposing you to just one narrow aspect of the job it takes you through data analysis modeling implementation simulated execution evaluation and the judgment calls in between. That breadth leads to continuous engaging conversations among interns and mentorsand helps make the Blast Project one of the most memorable parts of the summer.

The strategy is your own but you wont develop it alone. Youll be paired with a mentor from our research and trading staff supported by dedicated teaching assistants and surrounded by a cohort of interns working through the same challenge.

Were looking for intellectually curious problem-solvers who are energized by difficult quantitative problems and motivated by rigorous experimentation.

You may be a strong fit if you have:

• A PhD in progress and expect to be in your penultimate or final year as of summer 2027 or currently a postdoctoral researcher in computer science economics electrical engineering mathematics operations research physics statistics or another highly quantitative discipline
• A strong foundation in probability statistics optimization numerical methods or quantitative modeling
• Experience developing research code in Python and working with large datasets; experience with C scientific computing or high-performance computing is a plus
• Excellent problem-solving skills and an interest in using quantitative models to understand complex systems
• Strong communication skills and an interest in collaborating with researchers engineers and traders to refine ideas through discussion and experimentation
• A track record of intellectual curiosity demonstrated through academic research competitions strategic games or other analytical pursuits
• The ability to thrive in an environment that values creativity evidence-based thinking collaboration and continuous learning

By applying to this role you will be automatically considered for the Quantitative Research Internship. 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.

Quantitative systematic trading interns will receive a $8600 weekly base salary during the ten-week addition interns will receive a signing bonus housing breakfast and lunch and other perks.

About Susquehanna

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