full-time
Quant Data Engineer
Tempest Vane Partners
- Employer
- Tempest Vane Partners
- Location
- London
- Working pattern
- on-site
About the role
Design and operate scalable data platforms and high-throughput pipelines for quantitative investment research, including systems that process structured and alternative data. Develop and deploy AI and machine learning tools, backtesting frameworks, and production infrastructure in collaboration with Portfolio Managers, Quantitative Researchers, and Data Scientists. Candidates need strong Python software engineering experience in production environments, along with a background in data engineering, machine learning, or quantitative engineering and experience with distributed pipelines and large datasets. Commercial experience with LLMs and RAG, cloud platforms, Kubernetes, production systems, and effective stakeholder communication is required.