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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.