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Qube Research & Technologies

Manages investments with systematic trading models

Software Engineer - Data Lifecycle

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listedIn-person

About the Job

Requirements

  • Five to ten years of software engineering experience, ideally in a high-performance or data-intensive environment.
  • Strong programming skills in Python; C# experience is a plus.
  • A solid understanding of software design, architecture, and scalable systems.
  • Experience working with SQL and relational databases.
  • Familiarity with testing frameworks and continuous integration and continuous deployment practices.
  • Exposure to financial markets is valuable but not required, particularly trade and position lifecycle systems; equities, exchange-traded funds, futures, or options; corporate actions and reference data; or market structure and exchange-specific behaviour.
  • Deep expertise in a single asset class is not required, but an interest in learning and working in a trading environment is important.
  • Experience building systems in a quantitative trading or financial environment is desirable.
  • Strong problem-solving skills focused on performance, scalability, and data quality are desirable.
  • Ability to operate in a high-impact, fast-paced environment with evolving requirements is desirable.

Responsibilities

  • Design and build scalable, high-performance systems for trade and position lifecycle management.
  • Develop solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes.
  • Build and maintain high-quality reference data platforms used across trading and research.
  • Deliver real-time and end-of-day reporting pipelines for internal and external stakeholders.
  • Ensure data accuracy, integrity, and consistency across systems and workflows.
  • Contribute to system validation, controls, and operational robustness, including alignment with brokers and fund administrators.
  • Collaborate closely with stakeholders to translate business needs into reliable technical solutions.
  • Write well-tested, maintainable code and contribute to continuous integration, continuous deployment, and deployment pipelines.
  • Support production systems and continuously improve reliability, monitoring, and performance.

Desired Qualifications

  • Experience with C# is a plus.
  • Experience building systems in a quantitative trading or financial environment.
  • Strong problem-solving skills focused on performance, scalability, and data quality.
  • Ability to operate in a high-impact, fast-paced environment with evolving requirements.

About the Company

Qube Research & Technologies

Manages investments with systematic trading models

Qube Research & Technologies manages investment portfolios for investors, using scientific research and market data to guide its trading. It develops systematic strategies that turn research findings into rules for buying and selling, with risk controls used to manage portfolios across financial markets. The group operates through locally regulated investment-management entities in the United Kingdom, Hong Kong, France, Singapore and Dubai, with strategies deployed globally to spread its portfolios across regions and markets. Investors place capital in its funds, and the firm earns fees for managing those assets and investment strategies. The firm is headquartered in London, United Kingdom.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
Not listed

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