Quantitative Developer

Selby Jennings; City Of London; Presencial; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Selby Jennings in London is seeking a Quantitative Developer to join its investment teams. You will collaborate closely with researchers and portfolio managers to build research tooling, simulation frameworks, and quantitative models that power systematic strategies.

The role sits at the intersection of research and technology, delivering scalable data platforms and production-ready pipelines while applying Python and modern software practices in a highly collaborative environment.

Qualificações

• Strong software engineering experience with excellent Python development skills.
• Degree in Computer Science or a related discipline.
• Experience building data-intensive applications, platforms, or research systems.
• Familiarity with modern software engineering practices including CI/CD, testing, and deployment workflows.

Responsabilidades

• Research tooling development alongside quantitative researchers.
• Model and simulation development, backtesting, and modelling frameworks.
• Data platform engineering for scalable, data-intensive analytics.
• Software engineering and automation with CI/CD, testing, and production deployments.

Conhecimentos

Python development

Software engineering

Problem solving

Team collaboration

Formação académica

Bachelor's degree in Computer Science

Ferramentas

CI/CD

Testing frameworks

Version control

Deployment workflows

Descrição da oferta de emprego

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.

Key Responsibilities

• 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.

Required Skills & Experience

• 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.