Senior Software Engineer – Quantitative Trading & Research Infrastructure

Build high-performance software and research infrastructure powering quantitative trading, working with researchers and technologists to solve complex problems, scale distributed systems, and transform market data.

What You'll Do:

Join a high-calibre technology team building the platforms and infrastructure that support sophisticated quantitative trading and research. You’ll work closely with quantitative researchers and fellow technologists to develop innovative research infrastructure, strengthen production systems, and improve scalability across global markets.

Your responsibilities will include:

• Design, develop, and enhance scalable software platforms supporting quantitative research and trading.
• Build reliable research infrastructure for large-scale data analysis and experimentation.
• Collaborate with quantitative researchers to translate research requirements into robust technical solutions.
• Improve the scalability, performance, reliability, and maintainability of production systems.
• Work with large and complex datasets to support data-driven research and decision-making.
• Identify challenging technical problems and develop effective, innovative solutions.
• Contribute to the evolution of systems as the business expands into new markets.
• Take ownership of projects while working collaboratively within a high-performing technical environment.
• Apply strong analytical thinking, creativity, and intellectual curiosity to complex engineering challenges.

Why Join Us:

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Work at the intersection ofsoftware engineering, quantitative research, data, and financial markets .

• Collaborate with exceptional researchers and technologists on technically challenging problems.
• Build systems where engineering improvements can have a significant impact across an entire team.
• Work with large-scale distributed systems and sophisticated research infrastructure.
• Be part of a culture that values innovation, intellectual honesty, collaboration, creativity, and continuous improvement.
• Gain exposure to technologies and research applications spanning global financial markets.

About You:

You’re an experienced software engineer who enjoys solving difficult problems and building systems that operate at scale. You bring5+ years of professional Python experience , ideally working with large distributed systems, and are comfortable working in Linux environments.

You’ll also bring:

• A Bachelor’s degree in Computer Science, Computer Engineering, or an equivalent qualification.
• Strong experience working with large datasets.
• Excellent analytical and problem-solving abilities.
• A genuine curiosity about technology, data, and complex systems.
• A self-directed approach with the confidence to take ownership of projects.
• The ability to collaborate effectively with researchers, engineers, and other technical specialists.
• Reliable and predictable availability.
• A passion for continuous learning and developing better technical solutions.

Ready to build technology that operates at the cutting edge of quantitative research and global markets? Bring your curiosity, engineering expertise, and ambition to a team where challenging problems become opportunities to create something extraordinary.