Top Tech Jobs & Startup Jobs in London

Design, build, and maintain cloud-native backend services for index data processing. Write production-ready Python, deploy and operate services on AWS, use Infrastructure as Code, and monitor/debug systems with observability tools like Prometheus and Loki. Collaborate with product, research, and engineering teams.

Design, build, and maintain performant PostgreSQL datastores, scalable data pipelines, and production-ready Python HTTP APIs. Implement automated testing, ensure data quality, and work with researchers and clients to deliver data features for financial analysis.

Work directly with quantitative clients to translate event-driven datasets into tradeable strategies. Provide hands-on Python analysis, backtests, and reproducible examples; answer data quality and methodology questions; publish research and data notes; and liaise with product, research, and engineering teams to resolve client issues and inform priorities.

Design, build, and maintain cloud-native, scalable backend services. Write clean, tested Python (with occasional Go/Rust), operate production systems on AWS, use IaC (Terraform), containerization (Docker, Kubernetes), and observability tools (Prometheus, Loki). Collaborate with product, research, and engineering teams to define requirements and ensure reliability, security, and performance.

Design, build, and maintain performant PostgreSQL datastores, scalable data pipelines, and production-ready Python HTTP APIs. Ensure data quality, integrity, and query performance for financial datasets. Collaborate with researchers and clients to translate needs into features, using automated testing to own features from conception through deployment.

Analyze large financial datasets, validate and develop automated models, model corporate actions and index changes, write client-facing research reports, communicate insights to clients, and source public information.