Software Engineer - Data Lifecycle

<p>Qube Research &amp; Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.</p> <p>You will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.</p> <p><strong><span data-contrast="auto">Your future role within QRT</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-ccp-props="{}"></span></p> <p>This is primarily a hands-on engineering role (approximately 80% development), with a smaller component (approximately 20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production.</p> <p>You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems.</p> <p><span data-ccp-props="{}"></span></p> <p><span data-contrast="auto"></span></p> <ul> <li>Designing and building scalable, high-performance systems for trade and position lifecycle management</li> <li>Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes</li> <li>Building and maintaining high-quality reference data platforms used across trading and research</li> <li>Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders</li> <li>Ensuring data accuracy, integrity, and consistency across systems and workflows</li> <li>Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators</li> <li>Collaborating closely with stakeholders to translate business needs into reliable technical solutions</li> <li>Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines</li> <li>Supporting production systems and continuously improving relia