Jobs at G-Research

As a Software Engineer, you will develop solutions for a cutting-edge trading system, enhance a petabyte-scale data platform, and apply engineering best practices.

As an Open-Source Evangelist, you will drive features in key projects, enhance internal visibility, engage with teams, and contribute to the open-source ecosystem.

The Quantitative Analyst will analyze trading behavior, collaborate with teams, and improve trading strategies using data and skills in Python and C#. Attention to detail and prioritization are essential for success.

The Talent Acquisition Coordinator manages assessment processes, schedules interviews, supports the TA team with an ATS and CRM, and ensures a high-quality candidate experience.

Develop and maintain OpenTelemetry SDKs, libraries and collectors; build instrumentation patterns for C# and Python across Kubernetes and non-Kubernetes workloads; embed observability standards; scale telemetry backends and pipelines; improve incident response through better telemetry and AI-assisted engineering; support platform and application teams and participate in on-call rotation.

The Engineering Manager will lead strategy, design, delivery, and operations of research and trading technology systems, managing a talented team and enhancing solutions for developers and researchers.

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 Data Scientist, you'll refine and transform complex financial data, collaborate with researchers, and analyze third-party datasets to enhance our data platform.

The role involves supporting the delivery of organisational development processes, including performance management, talent planning, and documentation for senior stakeholders while collaborating with the People team.

The Engineering Manager will lead a high-performing team, define technical strategy, evolve research technology, and enhance research output through efficient innovations.

The Infrastructure Engineer will manage multiple infrastructure projects, lead hardware deployment processes, and collaborate on procurement and logistics across global locations.

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.

Design, build, and operate Kubernetes infrastructure for high-demand workloads, ensuring security, reliability, and scalability while collaborating with research and trading teams.

As a Technical Support Analyst, you will diagnose and resolve technical issues, manage user access, support systems across Windows and Linux, and maintain critical infrastructure with a focus on customer service and technical troubleshooting.

As a Compute Operations Engineer, manage reliable scalable research platforms, automate systems using Kubernetes, and collaborate on technology standards.

The role involves developing remote development capabilities in Kubernetes, focusing on user experience, continuous improvements, and platform security.

Lead and manage two engineering teams focusing on security automation and application development, ensuring secure, scalable systems across corporate domains.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

The Talent Acquisition Operations Manager will enhance the TA function by optimizing processes, managing operations, and leading a team to ensure a quality candidate experience.

The Production Software Engineer ensures system resilience and operational efficiency, focusing on deployment automation, observability, and collaboration across engineering teams.