Quantitative Systematic Trader (Quantitative Trading)

Location: Onsite in New York, New York; opportunities are also available in Philadelphia

Annual base pay: $300,000

Company

Susquehanna is a global quantitative trading firm using scientific research, machine learning, and technology to develop systematic trading strategies for global markets.

What you will do

• Apply probability theory, statistical analysis, and machine learning to model and interpret market behaviour.
• Build and optimize data-driven, fully automated trading strategies.
• Monetize quantitative signals using trading intuition and live market insights.
• Monitor strategy deployment and real-time performance, adjusting parameters and responding to anomalies.
• Collaborate with researchers and technologists to build parts of the execution engine.
• Develop market intuition and a deep understanding of microstructure.

Requirements

• Master’s student in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Economics, or another quantitative field, graduating by Summer 2026.
• Strong analytical, logical reasoning, and problem-solving skills.
• Programming experience with Python for processing and analysing large datasets.
• Strong interest in trading and strategic games or competitive activities.
• Clear communication skills and the ability to work in a fast-paced, collaborative environment.
• Self-motivated, adaptable, and quick to learn.

Nice to have

• Experience with C++ or another low-level programming language.

Culture & Benefits

• Comprehensive education program and personalized mentorship from senior professionals.
• Collaborative environment involving researchers, engineers, and traders.
• Visa sponsorship is available.
• Automatic consideration for the Quantitative Research position when applying.