Susquehanna International Group
Just Landed
2 days ago
Quantitative Researcher – PhD Hire – NY/Philadelphia area Susquehanna International Group in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Apr 14, 2027
Country
United States
University
Susquehanna International Group
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About this position
Susquehanna International Group is hiring a Quantitative Researcher – PhD Hire – NY/Philadelphia area in its Quantitative Research department. The role sits within Susquehanna’s systematic trading environment, where researchers work on quantitative problems that inform decision-making in global financial markets.
The position focuses on designing, validating, backtesting, and implementing statistical and advanced machine learning models. The research work spans statistical inference, optimization, market microstructure, simulation, forecasting, alpha signal research, and large-scale data analysis. The successful candidate will help improve strategy performance and develop models with an emphasis on robustness and long-term reliability.
Researchers have access to Susquehanna’s proprietary datasets and large-scale computing infrastructure, including a rapidly growing cluster of thousands of high-end GPUs. The advert emphasizes a highly collaborative environment in which ideas are debated openly, evidence guides decisions, and promising research can move quickly toward practical impact.
The role is described as part of a broader quantitative research ecosystem that works closely with systematic traders and technologists to push strategies into production. Susquehanna also highlights a comprehensive education program and personalized mentorship from senior professionals to support professional growth.
Applicants who are intellectually curious and energized by difficult quantitative problems are encouraged to apply.
Funding details
Available
What's required
A PhD graduating by Summer 2027 or postdoctoral experience in computer science, economics, electrical engineering, mathematics, operations research, physics, statistics, or another highly quantitative discipline is required. Candidates should have a strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling, along with experience developing research code in Python and working with large datasets; C++, scientific computing, or high-performance computing is a plus. Strong problem-solving, communication, collaboration, curiosity, and evidence-based thinking are expected. Visa sponsorship is available.
How to apply
Apply through the MathJobs application link provided in the advert. By applying to this role, you will also be automatically considered for the Quantitative Systematic Trader position. No separate application is needed for that second role.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.