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Storage Engineering Manager

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Why join our team

Industry-leading compensation

A culture that supports your success

Talent development

Relocation support

Comprehensive benefits

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 role

At G-Research, high-performance data storage is at the core of everything we do — powering research, modelling and trading at scale.

We're looking for an experienced Storage Engineering Manager to lead the design, evolution and optimisation of our storage platforms. You'll 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. You'll 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:

Leading the strategy, design and delivery of high-performance storage platforms
Partnering with researchers and engineers to align storage capabilities with evolving compute workloads
Driving continuous optimisation, reliability and performance improvements across distributed systems
Managing and mentoring engineers, fostering a high-performance, collaborative culture
Engaging vendors to influence product roadmaps and ensure best-in-class deployment and support
Collaborating with Architecture and Innovation teams to assess and adopt emerging technologies
Overseeing capacity planning, budgeting and lifecycle management of storage platforms
Championing automation, Infrastructure-as-Code (IaC) and DevOps-led operational excellence

Who are we looking for?

The ideal candidate will have the following skills and experience:

Deep technical expertise in high-performance storage systems, such as VAST, Isilon or equivalents
Proven leadership in large-scale, distributed environments
Strong stakeholder management and communication skills
Experience building automation and tooling to improve user experience and platform efficiency
Familiarity with CI/CD, configuration management and SRE principles
A clear understanding of ML workloads and storage access patterns
Experience with cloud storage, with AWS preferred
Commitment to building secure, resilient, high-integrity systems

Why should you apply?

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

Location: London

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Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work here."

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Get to know us

What is it like working at a leading quantitative research and technology firm?

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We are G-Research, a leading quantitative research and technology firm. From our offices in London and Dallas, we bring together world class researchers and engineers in a collaborative culture that values deep exploration, methodical execution, and long-term thinking. We apply scientific rigour, advanced machine learning, and cutting edge technology to tackle the hardest problems in finance, to predict movements in global markets. We are hiring. Build your career and bring your ideas to life in a culture that amplifies your impact and supports your growth. Discover where your curiosity could take you.

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What our people say

Mia Software Engineer

"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."

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Neil Corporate IT Manager

"My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition."

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Ross Cloud Engineering Manager

"My favourite thing about working here is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company."

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Matteo Quantitative Research Intern

"One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."

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Margot HRIS manager

"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."

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Alexander Software Engineer

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

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Simon Cyber Security Manager

"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research's belief in fostering growth and recognising potential."

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Sebastian Senior Quantitative Researcher

"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

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Yang Quantitative Researcher

"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

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Yousuf Machine Learning Engineer

"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."

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