At a Glance
- Tasks: Design and build high-performance, low-latency network solutions for finance.
- Company: Join G-Research, a leader in quantitative finance innovation.
- Benefits: Competitive pay, 35 days leave, healthcare, and a fun work environment.
- Other info: Inclusive culture with great career growth and monthly events.
- Why this job: Shape cutting-edge technology that drives impactful research in finance.
- Qualifications: Experience in managing scalable, resilient network infrastructure.
The predicted salary is between 56700 - 69300 £ per year.
We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite top 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.
The role involves joining our Colo Infrastructure team during an exciting period of growth in our co-location and low-latency platform. You will design and build highly available network solutions for our low latency platform as well as the tooling and workflows to ensure the infrastructure is robust, observable and engineered for speed and availability. The infrastructure is highly automated and you will maintain and develop this automation to enable rapid deployment of new infrastructure whilst maintaining reliable operations.
Key responsibilities of the role include:
- Designing and building new co-location network solutions to meet the needs of the platform
- Optimising the performance, latency and throughput of the infrastructure
- Lifecycle management and monitoring of Colo Network environment
- Developing automation and operators to build and extend the infrastructure
- Working with other platform and development teams to help define standards, best practices and onboard new capabilities onto the platform
- Contributing to incident response and production reliability
- On-call responsibilities for the most critical parts of the infrastructure
We're looking for a skilled network engineer with technical experience of managing high performance, low latency, scalable and resilient network infrastructure solutions. The ideal candidate will have the following skills and experience:
- Designing and building highly available, mission critical networks
- Optimising low latency networks (including layer 1 switching, RF, LEO, dark fibre), timing solutions (using GPS, PTP, PPS, White Rabbit and NTP)
- Building packet capture and analysis solutions (including optical taps, SPAN, tap aggregation and timestamping)
- Running product evaluation and testing
- Building networks and market connectivity in exchange collocations
- Evaluating WAN connectivity options for optimal diversity and latency
- Multicast configuration and troubleshooting
- In-depth understanding of automation tools, including Git, Python, Jenkins and Ansible
Why join us? Highly competitive compensation plus annual discretionary bonus, lunch provided (via Just Eat for Business) and dedicated barista bar, 35 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.
Summary Location: London, UK Type: Full time
Network Engineer - Finance in London employer: G Research
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. Our commitment to employee growth is evident through mentorship opportunities, comprehensive healthcare, and a strong focus on work-life balance, all while fostering a culture that values diversity and collaboration. Join us to tackle complex challenges in cyber security and be part of a team that not only values your contributions but also invests in your future.
StudySmarter Expert Advice🤫
We think this is how you could land Network Engineer - Finance in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at G Research or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to G Research.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like G Research.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like G Research that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Network Engineer - Finance in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at G Research.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at G Research and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at G Research
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If G Research uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
