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IMC Trading

Python Software Engineer

Posted Yesterday
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Hybrid
Sydney, New South Wales
Senior level
Hybrid
Sydney, New South Wales
Senior level
Develop, test, deploy, and maintain high-performance Python applications while collaborating closely with finance teams. Involve in automation and optimization projects, balancing technical trade-offs in a complex tech environment.
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At IMC, technology is not a department; it's at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.
IMC's Sydney based Engineering teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualization tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge. We are currently looking to expand our software engineering teams across our Strategy, Research tooling and Backbone teams.
The Strategy Developers work alongside our Sydney-based options research and trading teams in designing and implementing systematic trading strategies. You will be responsible for engineering efforts in a Python-based ecosystem that empowers our researchers and traders to develop strategies from initial prototypes to production. In this role, you will also be involved in the tactical development of front-office trading, analysis, and visualization tools.
The Backbone Developers create scalable business critical applications and tools to automate tasks supporting IMC's Sydney Mid-Office and Risk Management departments. They gather requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions via innovative coding practices.
The Research Tooling Developers collaborates closely with APAC Quant Research and other engineering teams to build and enhance tools that drive cutting-edge quantitative research. Our systems empower researchers to run large-scale computations on distributed clusters, enabling the exploration of new trading strategies, model training, and back testing.
Your Core Responsibilities:

  • Develop, test, deploy, and maintain high-performance Python applications.
  • Work closely with traders, researchers, quants, and fellow engineers to build scalable and reliable software solutions.
  • Take ownership of end-to-end development, from requirements gathering to production deployment.
  • Implement automation and optimization projects to enhance trading and research workflows.
  • Apply advanced automated testing practices and leverage daily deployments to achieve agile and incremental benefits.
  • Balance trade-offs between latency, throughput, simplicity, scalability, and maintainability in a complex technology landscape.


Your Skills and Experience:

  • 5+ years of professional software engineering experience, with a strong focus on Python.
  • Experience working with numerical computing and data processing frameworks such as Pandas, NumPy, SciPy, Celery, Dask, Spark, or Kubernetes.
  • Strong problem-solving skills and the ability to proactively tackle technical challenges.
  • Experience with automated testing and CI/CD pipelines.
  • Familiarity with Docker, Kubernetes, and Linux environments.
  • Exposure to distributed computing and modern cloud-based data processing technologies.
  • Strong communication skills and the ability to work with cross-functional teams including traders, researchers, and other engineers.
  • Prior knowledge of financial markets or trading is not required, but curiosity and a willingness to learn are essential.


About Us
IMC is a leading global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, and Asia Pacific, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Top Skills

Celery
Dask
Docker
Kubernetes
Linux
Numpy
Pandas
Python
Scipy
Spark

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