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Susquehanna International Group

Global quantitative trading, liquidity provision, research

Quantitative Systematic Trader - Honours and Master’s: 2026

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

About the Job

Requirements

  • An Honours or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
  • Experience writing code to process and analyze large sets of data, especially in Python.
  • Experience in C++ or another low-level programming language is a plus.
  • Demonstrated interest in strategic games or competitive activities.
  • The ability to thrive in a fast-paced environment.
  • Solid analytical problem-solving skills and excellent logical reasoning.
  • Strong communication skills in a fast-paced or highly collaborative environment.

Responsibilities

  • Investigate trading ideas by immersing yourself in market data and leveraging mathematics, statistics, and programming.
  • Research patterns in market data and develop trading signals.
  • Run trading signals through the backtesting environment and analyze their performance.
  • Work with technologists to put profitable signals into production.
  • Monitor the real-time performance of electronic trading strategies in financial markets.
  • Discuss strategy ideas with researchers, strategists, and traders to collect feedback and develop new quant projects.

Desired Qualifications

  • Experience in C++ or another low-level programming language.

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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