Software Engineer - Data Lifecycle

Description

The company is a global quantitative and systematic investment manager trading in all liquid asset classes worldwide, using data, research, technology and trading expertise to invest.

You will join the Data team as a Software Engineer, sitting between engineering, trading and research. The work covers scalable systems for reference data, regulatory and external reporting, and front-office analytics.

You will have clear visibility across the business and work with people in Execution, Engineering and Research. Your projects will support operational efficiency and trading decisions.

Responsibilities

• Most of your time, about 80%, goes to hands-on development.
• About 20% goes to supporting and owning systems, keeping production robust, reliable and accurate.
• You will work with trading, research, risk and operations teams, learning the business while building scalable, high-performance systems.
• Design and build scalable, high-performance systems for managing trades and positions through their lifecycle.
• Build solutions that automate lifecycle events such as corporate actions, expiries and cash flows across asset classes.
• Build and maintain high-quality reference data platforms for trading and research.
• Deliver real-time and end-of-day reporting pipelines for internal and external users.
• Keep data accurate, complete and consistent across systems and workflows.
• Help with system validation, controls and operational robustness, including working with brokers and fund administrators.
• Turn business needs into dependable technical solutions by working closely with stakeholders.
• Write well-tested, maintainable code and help improve CI/CD and deployment pipelines.
• Support production systems and keep improving their reliability, monitoring and performance.

Requirements

• 5, 10 years of software engineering experience, ideally in a high-performance or data-heavy setting.
• Strong Python skills. C experience is a bonus.
• A solid grasp of software design, architecture and scalable systems.
• Experience with SQL and relational databases.
• Familiarity with testing frameworks and CI/CD practices.
• Financial markets experience is valued but not required. Useful areas include: trade and position lifecycle systems; equities, ETFs, futures or options; corporate actions and reference data; and market structure and exchange-specific behaviour.
• You do not need deep expertise in one asset class, but you do need a real interest in learning and working in a trading environment.
• Bonus: experience building systems in a quantitative trading or financial environment.
• Bonus: strong problem solving with a focus on performance, scalability and data quality.
• Bonus: comfort working in a high-impact environment with changing requirements.
• Bonus: clear communication and a collaborative approach.

Conditions

The company is an equal opportunity employer and values diversity.

Benefits

• Work on business-critical systems that directly affect trading results.
• Join a core engineering team with significant ownership and autonomy.
• Collaborate with traders, researchers and engineers in a highly technical setting.
• Solve complex data and systems problems at scale.
• Access to initiatives and programmes that support a healthy work-life balance.