Quantitative Researcher - PhD: 2026

Susquehanna International Group, LLP • Bala Cynwyd (Philadelphia Area), PA

101d

About The Position

As a Quantitative Researcher at Susquehanna, you'll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.

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

Responsibilities

• Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas
• Propose improvements or optimize existing strategies
• Backtest ideas using historical market data and large research clusters
• Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
• Collaborate with systematic traders and technologists to push strategies into production

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees