Quantitative Developer

• Research Tooling Development: Partner closely with quantitative researchers to build and enhance research platforms, analytical tools, and development frameworks.
• Model & Simulation Development: Design and implement simulation environments, backtesting capabilities, and modelling frameworks.
• Data Platform Engineering: Build and maintain scalable, data-intensive applications and pipelines that process large volumes of financial data and support quantitative research workflows.
• Software Engineering & Automation: Develop robust Python-based solutions while contributing to engineering best practices, testing frameworks, CI/CD processes, and production-ready deployment pipelines.

• Strong software engineering experience with excellent Python development skills.
• Degree in Computer Science or a related discipline.
• Experience building and supporting data-intensive applications, platforms, or research systems.
• Strong understanding of modern software engineering practices, including CI/CD, testing, version control, and deployment workflows.
• Exposure to quantitative research, systematic investing, or financial modelling environments is highly desirable.
• Excellent problem-solving abilities and the capacity to work in a highly collaborative, research-focused environment.

Our client, a leading global quantitative investment management firm, is looking to hire Quantitative Developers to join its London-based investment teams. Sitting directly alongside quantitative researchers and portfolio managers, these highly collaborative roles focus on building research tooling, simulation frameworks, and quantitative models that drive the firm’s systematic investment strategies.

Working at the intersection of research and technology, Quantitative Developers build the software and data platforms that power idea generation, portfolio construction, and strategy deployment. The team delivers scalable, data-intensive solutions that enable researchers to move from concept to production faster and more effectively.