Senior Research Engineer - Selby Jennings
eFinancialCareersOur client is a highly regarded quantitative investment firm seeking a Research Engineer to join a growing technology team focused on enabling data-driven research. This position centres on developing Python-based tooling, data infrastructure, and workflow frameworks that allow researchers to efficiently work with large-scale financial and alternative datasets.
The ideal candidate will have experience building research platforms, orchestrating complex data workflows, and supporting machine learning research environments. A strong focus on data quality, MLOps, and GPU-enabled computing is essential.
Key Responsibilities
- Design, build, and maintain Python-based research tools and infrastructure.
- Develop scalable frameworks to support data analysis, feature generation, and research workflows.
- Curate and manage large, complex data-sets, ensuring high standards of quality, consistency, and accessibility.
- Enhance data pipelines for ingestion, validation, transformation, and distribution.
- Collaborate closely with research teams to translate requirements into robust engineering solutions.
- Support machine learning operations, including automation, experiment tracking, and reproducibility.
- Optimise GPU-enabled environments to improve research efficiency and performance.
- Work alongside platform and infrastructure teams to ensure systems are scalable, reliable, and well-governed.
Required Experience
- Strong software engineering background with Python as a core development language.
- Experience building research platforms, data infrastructure, or data-intensive applications.
- Proven experience working with large-scale data-sets in a research, quantitative, or analytical environment.
- Strong understanding of data management, governance, and quality control.
- Experience designing and supporting orchestration frameworks and large-scale data processing workflows.
- Familiarity with MLOps principles, tooling, and best practices.
- Experience supporting GPU-based workloads for machine learning or research applications.
- Excellent problem-solving skills and strong attention to detail.
- Ability to work effectively with researchers, data scientists, and engineering teams.
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reed.co.uk
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