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Susquehanna International Group offers a Quantitative Research Internship in Philadelphia or New York. You will model the work of full‑time staff and participate in a comprehensive education program with mentors.
You will build alphas on real trading strategies, backtest ideas, and collaborate across teams. This role targets master's students in quantitative fields, with Python programming and C++ as a plus.
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.
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 Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.
Master’s Quantitative Research interns at Susquehanna 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.
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.