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Quantitative Systematic Trader – PhD

Job in Pittsburgh, Allegheny County, Pennsylvania, 15289, USA
Listing for: SIG Susquehanna
Full Time position
Listed on 2026-07-03
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Quantitative Systematic Trader – PhD: 2027

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
  • PhDs graduating by Summer 2026 or postdocs 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
  • Programmers comfortable 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

Visa sponsorship is available for this position.

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