Software Engineer - Data Lifecycle

About this 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 future role within QRT

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.

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

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

Your present skillset:

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

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

• Trade and position lifecycle systems
• Equities, ETFs, futures, or options
• Corporate actions and reference data

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.

Nice to have

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

Base salary range for this position is $150,000 to $250,000 per year.

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.