G-Re

Join a 12-week summer internship on a technical machine learning team, working with quantitative researchers on challenging machine learning and scientific computing problems. Build efficient tools, optimize model training, and explore cutting-edge ML hardware and software.

Build and operate self-service storage platform services that automate infrastructure workflows for a quantitative finance firm. You’ll work across Python, Go, and TypeScript while improving reliability, auditability, and developer access to storage systems.

Join a technical machine learning team building high-performance tools and systems for quantitative research. As a graduate engineer, you’ll implement research ideas, optimize model training, and evaluate emerging ML hardware and software.

Join a 12-week summer internship building production software, research platforms, data tools, and scalable systems that support quantitative finance. You’ll work closely with experienced engineers and quantitative researchers while gaining structured mentorship and technical training.

Build high-performance software platforms and tools that empower quantitative researchers and support trading, modeling, simulation, and machine-learning workflows. You’ll work closely with researchers on systems operating at significant scale in a collaborative London-based engineering environment.

Build secure, scalable automation that detects, responds to, and contains cyber threats across G-Research’s complex hybrid infrastructure. This hands-on software engineering role combines Python development, cloud infrastructure automation, and security operations tooling.

Build and scale the observability platforms, telemetry pipelines, and developer tooling that help G-Research teams understand and operate their services. This hands-on role focuses on OpenTelemetry, Kubernetes, cloud-scale telemetry, and resilient platform engineering.

Build and operate high-assurance security systems protecting sensitive intellectual property, spanning cryptographic services, access controls, APIs, and hardened infrastructure. This hands-on role offers significant autonomy in a small team working on critical systems for quantitative finance.