Software Engineer - Data Lifecycle

Skills this role screens for

About the role

Qube Research & 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.

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.

Your role at QRT

This is primarily a hands-on engineering role (≈80% development), with a smaller component (≈20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production.

You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems.

Also

What you’ll work on

• Designing and building scalable, high-performance systems for trade and position lifecycle management
• Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes
• Building and maintaining high-quality reference data platforms used across trading and research
• Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders
• Ensuring data accuracy, integrity, and consistency across systems and workflows
• Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators
• Collaborating closely with stakeholders to translate business needs into reliable technical solutions
• Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines
• Supporting production systems and continuously improving reliability, monitoring, and performance

Who they want

What we’re looking for

Domain experience (one or more is valuable, not required). We’re interested in engineers with exposure to financial markets, particularly:

Deep expertise in a single asset class is not required—but an interest in learning and working in a trading environment is important.

• 5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment
• Strong programming skills in Python (experience with C# is a plus)
• Solid understanding of software design, architecture, and scalable systems
• Experience working with SQL and relational databases
• Familiarity with testing frameworks and CI/CD practices
• Trade and position lifecycle systems
• Equities, ETFs, futures, or options
• Corporate actions and reference data
• Market structure and exchange-specific behaviour

Also

What will set you apart

• Experience building systems in a quantitative trading or financial environment
• Strong problem-solving skills with a focus on performance, scalability, and data quality
• Ability to operate in a high-impact, fast-paced environment with evolving requirements
• Clear communication skills and a collaborative mindset

What you get

Why join QRT?

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

• Work on business-critical systems with direct impact on trading outcomes
• Join a core engineering team with significant ownership and autonomy
• Collaborate with traders, researchers, and engineers in a highly technical environment
• Tackle complex data and systems challenges at scale