Jobs at G-Research

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.

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.

The Analytics Engineer will manage analytics engineering relationships, develop data models and tools, and apply software engineering practices to optimize data-driven decisions.

Lead the Strategic Planning Office to define and execute long-term strategy, own the three-year plan and AOP, set and track OKRs, drive governance and QBRs, advise senior leadership, and build a high-performing strategic planning function that improves organisational effectiveness using data and emerging technologies.

Lead and shape the Adversary Emulation (internal Red Team) programme: plan and run complex offensive security operations, provide technical leadership and stakeholder reporting, develop tooling and team capabilities, and coach team members to improve organisational security outcomes.

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

The role requires leveraging financial knowledge and analytical skills to develop mathematical models predicting financial market movements, utilizing strong quantitative and computing skills in research.

As an Observability Engineer, you'll design systems for telemetry management, build scalable pipelines, and contribute to industry observability standards. Responsibilities include extending OpenTelemetry and enhancing incident response with telemetry data.

The role involves developing and optimizing machine learning models and collaborating on research projects with quantitative researchers.

Join as a Database Platform Engineer to design, build, and operate critical database platforms, ensuring high availability and performance in a collaborative environment.

G-Research seeks a Quantitative Researcher to use machine learning and statistical methods to analyze global financial markets. A Master's or PhD in a quantitative field is preferred, but prior finance experience is not necessary.

The role involves developing an ML research and deployment pipeline, implementing best practices in model and feature management, and ensuring robustness in production through effective solutions and collaboration.

As a Senior CSIRT Analyst, you will investigate security incidents, respond to threats, mentor junior analysts, and improve detection capabilities using cloud security tools.

Conduct research using machine learning techniques to develop investment strategies, leveraging extensive data and computational resources.

The role involves developing machine learning models, optimising system performance, and collaborating with diverse teams on innovative projects.

The role focuses on using advanced statistical and ML techniques to analyze financial market data and generate predictive insights.

As a Machine Learning Performance Engineer, you'll optimize large-scale workloads across GPU and CPU infrastructure, collaborating with researchers and engineers to improve performance and capabilities of research workloads.