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 Workspace Engineering team develops cutting-edge remote development capabilities. Hosted in Kubernetes these solutions provide our engineers and quantitative researchers with reliable repeatable and high-performance Linux environments.
The ideal candidate will be an enthusiastic developer with a keen interest in technologies such as Kubernetes and remote development workflows a commitment to best practices and a drive for continuous self-learning.
Were seeking someone with a broad technical skill set who is adaptable and excited to work across a range of engineering challenges. You should be comfortable applying modern tools and approaches to solve complex problems and eager to contribute to a fast-paced evolving environment.
Key Responsibilities of the role include:
Building stable and well-designed solutions which make it easy for customers to use our developer environments
Understanding what makes a great end user experience for our customers and building towards that
Recommending and implementing continuous improvements to platform and delivery pipelines
Understanding our platforms security requirements and designing and building features and capabilities to protect our developer environment
Being a product evangelist liaising with users to gather feedback and understand their workflows providing support and working on feature requests
The ideal candidate will have the following skills and experience:
A strong desire to learn and grow and a track record of solving challenges in unfamiliar areas
Extensive experience working with Linux
Experience with Kubernetes administration in production-grade environments including maintaining Kubernetes clusters and managing operators/CRDs
A firm understanding of Kubernetes concepts such as containers/resources RBAC and networking
Familiarity with automation through scripting for example with Bash or Python
Familiarity with development practices such as source code management and binary/dependency management using tools such as Git GitHub and Artifactory
Proficiency with CI/CD pipelines and DevOps tooling across the full development lifecycle using tools such as Jenkins Bamboo or ArgoCD and applying these to GitOps workflows and infrastructure-as-code environments
The ideal candidate would also have at least one of the following:
Highly competitive compensation plus annual discretionary bonus
Lunch provided (via Just 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.