Quantitative Systematic Trader – Master's: 2027

SIG Susquehanna; Pennsylvania; On-site; USD 80,000 - 120,000; Full time

Job summary

SIG Susquehanna, located in Pennsylvania, is seeking a Quantitative Systematic Trader to combine quantitative research expertise and trading intuition to build automated trading strategies. You will focus on alpha monetization and execution efficiency, actively monitor performance, and work collaboratively with researchers and technologists.

The ideal candidate will possess a Master's degree in a quantitative field by Summer 2026, have a solid understanding of programming in Python, and demonstrate strong analytical and strategic thinking skills.

Qualifications

• Analytical problem-solvers with excellent logical reasoning.
• Strategic thinkers with interests in strategic games.
• Strong drive to develop trading intuition.

Responsibilities

• Model market behavior using probability theory and statistical analysis.
• Oversee deployment and operation of trading strategies.
• Participate in a comprehensive education program.

Skills

Quantitative research expertise

Statistical analysis

Machine learning

Python

C++

Education

Masters in quantitative fields (Math, Physics, Statistics, etc.) graduating by Summer 2026

Job description

Overview

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.

What you can expect

• 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

What we’re looking for

• 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
• Programmerscomfortable 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
• Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition

By applying to this role, you will be automatically considered for the Quantitative Research position. There is no need to apply to both positions to be considered for both.

Visa sponsorship is available for this position.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting‑edge technology, we excel in solving complex problems and pushing boundaries together.