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Quantitative Developer

Susquehanna International Group, LLPSydney, New South Wales🇦🇺AustraliaPosted 14 Jul 2026

Why This Role Stands Out

This hybrid Quantitative Developer role at Susquehanna International Group offers a dynamic environment where you'll build cutting-edge trading systems and solve complex problems alongside top technologists. You'll thrive here if you possess strong Python skills, a passion for high-performance computing, and enjoy collaborating to create innovative technical solutions that directly impact trading strategies. Embrace this opportunity to grow your expertise in a fast-paced, technology-driven financial setting.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Overview

Susquehanna technologists are at the heart of where cutting edge technology meets the fast paced world of trading. Our growing teams build some of the most powerful trading systems in the financial industry and solve complex problems in a constantly changing environment. We design and optimise systems that can process massive amounts of data while still ensuring high performance and stability. Collaborating with traders and quantitative researchers, our systems engineers, network architects, technical analysts and software developers create competitive edge through best in class technical solutions.

Responsibilities
  • Develop and enhance trading applications by designing, implementing, and delivering complex software systems that meet business needs.
  • Solve complex problems by providing innovative and scalable solutions with a focus on high frequency and low latency automated trading.
  • Bring a thorough understanding of the business domain (trading, strategies, market making, market data and low latency).
  • Work closely with traders and the firm's top technologists as a software developer in a hands on role that thrives on technology challenges.
  • Develop, maintain and deploy analytical tools (Python) that directly influence trading strategies.
  • Source, cleanse, develop and maintain data pipelines as required by the trading teams.
  • Experience processing large and varied data sets.
  • Performance tune existing applications and processes, improve codebases and data flows to allow efficient processing of large data sets.
Qualifications
  • Experience with the Python data science stack: NumPy, Pandas, etc.
  • Experience with numeric data storage methodologies, e.g., HDF5.
  • Experience working in a Linux environment.
  • Strong knowledge of computer networking, e.g., UDP, multicasting.
  • Ability to understand financial models and mathematical algorithms.
  • Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
  • Experience or interest in capital markets, probability, game theory and the application of IT solutions to these areas is a plus.
Benefits
  • Real Impact - support, innovate, and optimise systems processing massive amounts of data while ensuring high performance and stability.
  • Collaboration - partner closely with Trading, Quantitative Researchers, Infrastructure and Strategy Developer Teams to develop and manage scalable, high performance systems.
  • Growth - natural curiosity, relentless problem solving, and continuous innovation, learning and growth.
  • Competitive employee perks & benefits.
Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.

Skills

NumPy
Pandas
Python

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