Jobs at G-Research

Own large-scale LLM inference performance: profile, benchmark and optimise inference workloads across GPU architectures; design and implement inference optimisations, reference implementations and tooling; collaborate with researchers and platform teams to deploy efficient, cost-effective NLP solutions.

10-week on-site Data Science internship in London supporting data discovery, enrichment and analysis for quantitative research. Tasks include data blending, statistical analysis, exploratory data analysis, visualization, building tooling, and collaborating with data scientists to scale and automate data processes.

10-week London-based summer research internship applying mathematical modelling, ML/deep learning, optimisation and back-testing to extract predictive signals from financial time-series. Interns complete an independent research project with mentorship, present findings to senior management, and may be considered for full-time roles.

10-week summer ML research internship based in Central London. Work on a supervised research project using advanced ML methods, mentored by senior researchers, with access to large compute, culminating in a final presentation. Top performers considered for full-time roles.

Analyze large-scale post-trade data to review and refine client trading behaviour, implement performant C# production code, collaborate with research, engineering and front office, monitor real-world changes, and deliver medium-term strategic projects and urgent commercial improvements.

Lead and execute penetration tests and vulnerability assessments across infrastructure and applications (Kubernetes, Jenkins, Windows Domain Services). Deliver remediation guidance, assess security controls, support Risk/Compliance and Detection teams, build automation/tooling, and mentor junior team members to improve overall security posture.

Own and evolve enterprise IAM platforms: design and operate authentication, identity federation, credential and privileged access solutions. Build SAML/OAuth2/OpenID Connect onboarding, rationalise identity providers, implement Teleport/JIT privileged access, define service account and certificate standards, build APIs and automation, and improve monitoring, logging, and operational maturity while partnering with engineering teams to migrate bespoke systems to standards-based IAM.

Design and implement IAM solutions and scalable systems, collaborate with stakeholders, mentor junior engineers, and manage CI/CD pipelines.

Work within the Data Analytics team to drive data-driven decision making: lead analytics projects, model and simulate business problems, produce end-to-end reporting, visualise insights for technical and non-technical stakeholders, provide technical oversight and mentor colleagues.

Develop systems that enhance high-performance trading platforms, focusing on workload distribution and real-time support for quantitative researchers.

As a Performance Engineering Manager, you'll lead the Compute Performance Engineering team, optimizing large-scale workloads across Linux HPC and Kubernetes. Responsibilities include strategy development, team leadership, profiling workloads, and enhancing compute infrastructure for better performance.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

As a Software Engineer, you'll transform systems, design high-performance distributed systems, and contribute to engineering growth and success.

Design and develop a custom distributed storage platform tailored for large-scale research workloads, focusing on performance and scalability, and collaborating with internal research teams.

The Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

The Engineering Manager will lead the design and delivery of large-scale engineering systems, manage a high-performing team, and collaborate on a data storage platform.

The Infrastructure Architect will design and oversee the infrastructure roadmap, focusing on private cloud and on-premises environments, ensuring alignment with business objectives and technology standards.

Design, build and operate highly available low-latency co-location network infrastructure. Optimize performance, timing and throughput; implement packet-capture and market connectivity; develop automation and tooling; monitor lifecycle and reliability; collaborate with platform teams; contribute to incident response and on-call support.

Design, build and maintain network automation and IaC for a high-availability, low-latency colocation environment. Develop Python-based automation, integrate with CI/CD, provide APIs and self-service tooling, implement observability, support incident response and on-call for critical infrastructure.

The Technology Assurance Specialist evaluates technology risk and performance, linking technical insights to business strategy and decision-making, and fosters collaboration across teams to enhance delivery capability and governance.