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.
At G-Research high-performance data storage is at the core of everything we do powering research modelling and trading at scale.
Were looking for an experienced Storage Engineering Manager to lead the design evolution and optimisation of our storage platforms. Youll define the strategic roadmap drive technical delivery and ensure our systems meet the performance and reliability demands of world-class quantitative research.
This is a hands-on leadership role balancing technical depth with stakeholder influence. Youll guide a talented engineering team work closely with Research and Technology and shape the future of our storage estate from performance tuning and capacity management to automation and next-generation architectures.
Key responsibilities of the role include:
The ideal candidate will have the following skills and experience:
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
Required Experience:
Manager
We use machine learning, big data & the most advanced tech to predict movements in financial markets.