Careers at Gresearch

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 Dates: 28th June 2027 - 17th September 2027 Working hours: 09:00 - 17:30 We are looking for exceptional students to join us for a 12-week summer internship within our world-class technology teams. These functions are central to our engineering efforts. As an intern you will work across a range of platforms that support our quantitative research. You will contribute to the development, enhancement and modernisation of the systems that underpin our business, gaining valuable experience with both legacy and cutting-edge technologies. This is a hands-on engineering role where you will write production-level code, collaborate with experienced software engineers and contribute to high-impact projects from day one. Key responsibilities of the role include: Designing and delivering high-quality, maintainable code to work with large and complex datasets Supporting and evolving production platforms and research tools Partnering with quantitative researchers to understand and improve data quality and value Developing and optimising database queries and the underlying infrastructure Enhancing internal tools and data processing pipelines used at scale As part of your internship, you will receive a structured onboarding experience and be paired with a dedicated mentor. Your mentor will be an experienced engineer who will guide your learning and development. In addition to on-the-job training, you will gain access to internal technical and professional development courses, alongside opportunities to increase your financial domain knowledge. Who are we looking for? We’re seeking sharp, curious and pragmatic software engineers who are eager to work at the intersection of finance and technology. The ideal candidate will have the following skills and experience: Studying towards a 2:1 or above in Computer Science or a closely related discipline Graduating in 2028 and currently in their penultimate year Experience in at least one object-oriented programming language, such as C#, Java or C++ Strong understanding of core computer science concepts, such as algorithms, data structures and systems architecture An interest in how engineering supports quantitative research and complex systems at scale A structured, analytical approach to problem-solving with sound judgement A proactive approach to improving code, systems and ways of working Clear communicate skills across technical and non-technical teams A collaborative mindset with a willingness to share ideas, feedback and knowledge Why join us? Highly competitive compensation Lunch provided (via Just Eat for Business ) and dedicated barista bar 30 days’ annual leave pro rata 9% company pension contributions Informal dress code and excellent work/life balance Opt-in private health insurance Monthly company events Centrally located office (close to five stations and six tube lines) 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 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 The Platform Desktop Engineering team is a new team within Core Infrastructure, responsible for the platform desktop. As Platform Desktop Engineering Manager, you will build and lead the team, taking accountability for the availability, security and evolution of the platform desktop service. This is a hands-on management roles requiring strong technical knowledge of Linux environments. You will stay close to the build pipeline, provisioning tooling and security posture, enabling you to review technical decisions, assess risk and hold partner teams and vendors to account. The role had a broad remit, spanning image builds, provisioning, security, monitoring and hardware. You will establish the team’s standards and priorities from the ground up, protecting engineers’ focus and making clear decisions about scope. Working closely with Linux Engineering, Security and wider infrastructure teams, you will foster a collaborative environment where engineers are encouraged to challenge, contribute ideas and act on them. Key responsibilities of the role include: Hiring, onboarding and developing Platform Desktop Engineers, including objectives, feedback and career development Managing service performance, including availability, estate health, patching , provisioning and user experience Owning the support model, including service levels, request and incident management and escalation paths Balancing operational demands with planned engineering work and longer-term priorities Delivering the estate roadmap across image builds, provisioning tooling, automation and hardware refreshes Overseeing change management, communications and post-incident improvements Defining and reporting metrics that provide visbility of service performance and estate health Managing capacity, budget and hardware lifecycle across physical and virtual resources Working with Linux Engineering, Security, Identity, Tech Support and other partner teams to manage dependencies and escalations Supporting joiner, mover and leaver processes in partnership with HR Who are we looking for? The ideal candidate will have the following skills and experience: Experience leading an infrastructure, platform or endpoint engineering team Strong hands-on Linux expertise, including package management, performance troubleshooting and log analysis Good understanding of CI/CD pipelines for OS image creation using tools such as Dagger, Packer, Jenkins or Bash Experience supporting bare metal and VM provisioning at scale, ideally using OpenStack and Ironic Strong understanding of enterprise security, including vulnerability and patch management Sound judgement, balancing security best practice with pragmatic risk-based decisions Understanding of hardware provisioning and lifecycle management, including diagnostics and vendor management Excellent communication and stakeholder management skills, with the ability to influence priorities across teams Experience owning and improving production services end to end Why join us? 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 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. The role Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers. Our Engineers are the enablers of our success. They work side-by-side with our researchers to realise their ideas in global financial markets. They work at the bleeding-edge with immense compute power at their fingertips to achieve our aim: predicting the future. The core tech stack is C# and Python, productionised in our own datacentres. Areas of focus for these teams include: Trading systems – reliable and performant systems able to trade 24/6 for our customers, with real money at stake Modelling – building core capabilities and assisting quant researchers in our cutting-edge prediction capabilities Simulation – back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance Research tooling – front-end UX and workflow for our quant researchers Performance and scalability – optimising our trading and research systems to unlock new capabilities To give a flavour of the work we do, here are some of our recent projects: Low level performance optimisations in our core simulation engine, unlocking the next advances in quant research Experimenting with alternative solvers in a core trade planning system Integrating our high and low frequency systems for more optimal trading Re-architecting systems to provide a seamless path from research to production for machine learning models Enabling large-scale distributed training of machine learning models Contributing back to open-source projects Who are we looking for? Deliver high-quality, well-engineered software with strong architectural awareness Take end-to-end ownership of solutions, from concept to delivery Demonstrate solid knowledge of algorithms, data structures and software fundamentals Show interest in quantitative finance and the role of engineering within it Prioritise effectively to deliver measurable business impact Proactively identify and implement scalable improvements Stay ahead of emerging technologies and drive their adoption Apply sound judgment and balance competing approaches Communicate clearly and adapt their style to different audiences Understand others’ needs to deliver mutually beneficial outcomes Collaborate effectively and build strong relationships across the business Why should you apply? 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