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 were building a world-class platform to amplify our teams most powerful ideas.
As part of our engineering team youll 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 Storage Engineering team is responsible for managing a diverse range of storage solutions including high-performance scale-out clusters block storage object storage and archival systems. The team designs deploys and operates the platforms that underpin our business.
You will partner with Researchers Software Engineers Network teams and external vendors including Dell VAST HPE and Rubrik to optimise workflows and resolve issues.
There is also the opportunity to contribute to our development backlog focusing on automation customer-facing tools and observability enhancements.
Key responsibilities of the role include:
Monitoring and troubleshooting events affecting platform health
Conducting deep-dive investigations and managing incidents
Analysing HPC workflows used by Research teams
Operating maintaining and extending IaC pipelines and storage tooling
The ideal candidate will have the following skills and experience:
Experience managing high-performance scalable and resilient infrastructure solutions
Linux system administration skills
Proficiency in Python or similar
A strong interest in GitOps and Infrastructure-as-Code (IaC) practices with exposure to tools such as Ansible Jenkins and Kubernetes
Experience with storage administration
Excellent communication skills with the ability to collaborate effectively across distributed teams and the wider business
Highly competitive compensation plus annual discretionary bonus
Lunch provided (viaJust Eat for Business) and dedicated barista bar
30 days annual leave
9% company pension contributions
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
We use machine learning, big data & the most advanced tech to predict movements in financial markets.