Master's Quant Trader: Build & Optimize Automated Strategies

Susquehanna International Group, LLP; New York (NY); On-site; USD 255,000 - 345,000; Full time

Job summary

Susquehanna International Group, LLP seeks a Quantitative Systematic Trader to join its team in a hybrid, research-driven trading environment. You will develop data-driven, automated strategies, monitor live performance, and refine models for profitability.

The role emphasizes alpha monetization, execution efficiency, and real-time risk management, with mentorship and growth opportunities across research and trading units. Visa sponsorship is available, with offices in Philadelphia and New York.

Qualifications

• Masters students 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
• Programming 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

• 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

Skills

Python programming

C++ programming

Quantitative reasoning

Data analysis

Team collaboration

Strong trading interest

Education

Master's degree in Mathematics/Physics/Statistics/EE/CS/OR/Economics

Tools

Python

C++

Job description

Susquehanna International Group, LLP seeks a Quantitative Systematic Trader to join its team in a hybrid, research-driven trading environment. You will develop data-driven, automated strategies, monitor live performance, and refine models for profitability.

The role emphasizes alpha monetization, execution efficiency, and real-time risk management, with mentorship and growth opportunities across research and trading units. Visa sponsorship is available, with offices in Philadelphia and New York.