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Susquehanna International Group

Global quantitative trading, liquidity provision, research

Quantitative Systematic Trader - PhD: 2026

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaIn-person

About the Job

Requirements

  • A PhD is required in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
  • Candidates must have solid analytical problem-solving skills and excellent logical reasoning.
  • Strong communication skills in a fast-paced and/or highly collaborative environment are essential.
  • Candidates must have experience writing code to process and analyze large datasets, especially in Python.
  • Candidates must have a demonstrated interest in strategic games and/or competitive activities.
  • Candidates must be able to thrive in a fast-paced environment.

Responsibilities

  • Investigate quantitative trading ideas by immersing yourself in market data and using mathematics, statistics, and programming.
  • Research market data to identify patterns that can become trading signals.
  • Run trading signals through a backtesting environment and carefully analyze their performance.
  • Work side-by-side with technologists to put profitable trading signals into production.
  • Monitor the real-time performance of electronic trading strategies in financial markets.
  • Discuss evolving trading strategies with researchers, strategists, and traders to collect feedback and brainstorm new ideas.

Desired Qualifications

  • Experience in C++ or other low-level programming languages is a plus.

About the Company

Susquehanna International Group

Global quantitative trading, liquidity provision, research

Susquehanna International Group (SIG) is a global quantitative trading firm that provides liquidity in equities, fixed income, commodities, and derivatives for institutional clients. Its core approach combines cutting-edge technology with quantitative research to build algorithms and models that identify trading opportunities and manage risk, enabling efficient, profitable trading. SIG differentiates itself through its deep emphasis on data-driven decision making, advanced technology, broad asset class coverage, and a strong global presence with offices in North America and regulated international locations. The company aims to generate trading profits by executing well-priced trades while supporting the careers of professionals in trading, technology, and quantitative research, all within a privacy-conscious framework.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Lower Merion Township, Pennsylvania
Founded
1987

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