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Susquehanna is seeking a Quantitative Systematic Trading Intern in the United States, based in New York. The role offers a structured education program, mentorship, and exposure to multiple teams as you build alphas for actual trading strategies.
Ideal candidates are in their final year or penultimate year of a PhD in quantitative fields and demonstrate strong analytical and communication skills. Proficiency in Python is required, with C++ being a plus in a fast-paced, collaborative environment.
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
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.
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.
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.