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.
Skills Required
- 5-10 years of software engineering experience
- Strong programming skills in Python
- Solid understanding of software design, architecture, and scalable systems
- Experience working with SQL and relational databases
- Familiarity with testing frameworks and CI/CD practices
- Experience with C#
- Exposure to financial markets, including trade and position lifecycle systems, equities, ETFs, futures, options, corporate actions, or reference data
- 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
- Clear communication skills and a collaborative mindset
Qube Research & Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.
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Wellbeing & Lifestyle Benefits — Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
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Leave & Time Off Breadth — Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
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Healthcare Strength — Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.
Qube Research & Technologies Insights
What We Do
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 QRT’s 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. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments
