Quantitative Systematic Trader – PhD: 2026
About The Position
As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up Risk Management. Oversee the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth Collaboration. Work in an open environment that allows you to collaborate with researchers and technologists to build parts of the execution engine What we’re looking for PhDs graduating by Summer 2026 or postdocs 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 Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying to this role, you will be automatically considered for the Quantitative Research position. There is no need to apply to both positions to be considered for both. Visa sponsorship is available for this position. About Susquehanna If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-Onsite
Requirements
- PhDs graduating by Summer 2026 or postdocs 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
- Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition
Responsibilities
- Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior
- Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up
- Oversee the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed
- Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
- Work in an open environment that allows you to collaborate with researchers and technologists to build parts of the execution engine
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
