Quantitative Developer / Researcher - Systematic Equities - London

eFinancialCareers; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

eFinancialCareers is seeking a Quantitative Developer/Researcher to own the technology and data infrastructure supporting a systematic equity strategy. You will work with the Systematic Portfolio Manager and a Software Engineer to build and maintain the platform underpinning research and live investment processes.

The role combines platform development, data engineering and quantitative research, with responsibility from development through deployment, monitoring and QA.

Qualifications

• Strong Python development skills and production-grade platform experience.
• Experience building and sustaining scalable data pipelines across large datasets.
• Ownership of production processes including deployment, monitoring and QA.

Responsibilities

• Build and maintain a stable quantitative research platform.
• Develop production-quality tools on top of financial datasets.
• Develop data pipelines, research workflows, and live processes.
• Deploy code and participate in release cycles.
• Monitor production systems and investigate issues.

Skills

Python

Production systems

Data pipelines

Large datasets

Version control

Testing

Kubernetes

Cloud infra

GitHub

CI/CD

Tools

GitHub

CI/CD

Job description

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.

The role will include:

• 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

We are looking for:

• 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 within a hedge fund, asset manager, systematic investment team or trading environment would be highly advantageous.
• Familiarity with Kubernetes, GitHub, 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.