Quantitative Developer​/Researcher - Systematic Equities

We are working with an established investment manager seeking a Quantitative Developer/Researcher to take ownership of the technology and data infrastructure supporting a systematic equity strategy.

Working directly with the Systematic Portfolio Manager and supported by a Software Engineer, you will build and develop the platform underpinning the team's research and live investment process. This is a hands-on role combining platform development, data engineering and quantitative research, with responsibility extending well beyond writing code.

You will own production and data-driven processes from development through to deployment, monitoring and quality assurance. This includes building reliable data pipelines and research tools, deploying code through established release cycles and responding quickly when live systems or data processes are not operating as expected.

• Building and developing a stable, scalable quantitative research platform
• Creating production-quality systems and tools on top of large financial datasets
• Developing and maintaining data pipelines, research workflows and live processes
• Deploying code and contributing to structured release cycles
• Monitoring production systems and investigating data or performance issues
• Improving the speed, reliability and reproducibility of the research process
• Working closely with the Portfolio Manager to translate research requirements into robust technical solutions

• Strong Python development skills
• Experience building and supporting stable, production-grade platforms
• Extensive experience working with large and complex datasets
• Ownership of production processes, including coding, deployment, monitoring and QA
• Experience with version control, testing and controlled software releases
• The ability to diagnose and respond to issues within live systems
• An understanding of quantitative investment research and how technology supports the investment process
• A proactive and accountable approach, with the ability to work directly with investment professionals
• Experience with in a hedge fund, asset manager, systematic investment team or trading environment would be highly advantageous.
• Familiarity with Kubernetes, Git Hub, cloud infrastructure or AI-assisted development tools would also be useful.

This is an opportunity to take meaningful ownership of a growing quantitative platform and help shape the infrastructure supporting an evolving investment and research process.