Automated Alpha Trader: Quantitative Systematic Trading

Tradermath; New York (NY); Hybrid; USD 250,000 - 300,000; Full time

Job summary

Susquehanna is seeking a Quantitative Systematic Trader who will combine research with live trading to build automated strategies. You’ll monitor performance and iterate to improve profitability, while collaborating with researchers and engineers in a highly quantitative environment.

Expect a comprehensive education program, mentorship from senior staff, and a culture that blends trading intuition with rigorous data analysis. Opportunities in Philadelphia and New York offices are available.

Qualifications

• Pursuing a Master’s degree in quantitative fields with graduation by Summer 2026.
• Strong analytical problem-solving abilities and logical reasoning.
• Clear communication in a fast-paced, collaborative environment.
• Experience with Python; C++ or other low-level language is a plus.

Responsibilities

• Model and refine data-driven trading strategies.
• Monitor real-time strategy performance and optimize profitability.
• Oversee risk management and respond to anomalies as needed.
• Collaborate with researchers and technologists on the execution engine.

Skills

Python

C++

Data analysis

Problem solving

Communication

Trading interest

Self-motivated

Education

Master's degree in quantitative field

Tools

Python

C++

Job description

Susquehanna is seeking a Quantitative Systematic Trader who will combine research with live trading to build automated strategies. You’ll monitor performance and iterate to improve profitability, while collaborating with researchers and engineers in a highly quantitative environment.

Expect a comprehensive education program, mentorship from senior staff, and a culture that blends trading intuition with rigorous data analysis. Opportunities in Philadelphia and New York offices are available.