Susquehanna is looking for a Quantitative Systematic Trader to build and refine data-driven, fully automated trading strategies, focusing on alpha monetization, execution efficiency, and live trading performance.
Requirements
- Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior
- Programmers comfortable processing and analyzing large data sets in Python
- experience with C++ (or another low-level language) is a plus
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
- Collaborate with researchers and technologists to build parts of the execution engine
- Process and analyze large data sets in Python
Other
- Masters graduating by Summer 2026 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
- 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
- Visa sponsorship is available for this position.
