Jobs at G-Research

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

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

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.

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.

As a Quantitative Developer, you will engineer high-quality software, collaborate with researchers on trading and modeling systems, and optimize performance in financial markets.

As an AWS Cloud Engineer, you will design and maintain AWS infrastructure, implementing security and automation to enhance cloud adoption while collaborating with teams to optimize workloads.

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.

The Elastic Platform Engineer will manage and evolve the Elastic SIEM and Tines infrastructure, ensuring its stability and security while mentoring junior engineers. Responsibilities include planning upgrades and collaborating on security operations.

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

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.

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.

Lead the strategy, design, and delivery of scalable engineering systems for quantitative research, guiding a team to enhance developer and research experiences.

The Lead Network Operations Engineer will manage network performance, security, and automation, responding to incidents, and enhancing operational processes through improved observability and efficiency.