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G-Research, headquartered in London, builds a world-class platform to accelerate research through scalable systems and AI-driven workflows. As part of the Custom I/O team you’ll design and implement a distributed storage platform in Rust, enabling researchers to scale data workloads and access patterns.
You’ll work with researchers and engineers, shape architecture, run in Kubernetes, and integrate streaming tech like Kafka to deliver high-performance data infrastructure.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
Take the next step in your career.
The Custom I/O team builds the storage technology that sits underneath much of our research. We are developing a new distributed storage platform, written in Rust, to give us greater scalability, performance and operational control.
You will work closely with researchers and other engineers to understand how data is stored and accessed, and help shape the design of a platform that many teams depend on. AI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows.
Key responsibilities of the role include:
The ideal candidate will have the following skills and experience: