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G-Research

Quantitative finance research applying rigorous methods

Performance Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Experience managing and developing engineers.
  • A strong background in computer science, such as a Bachelor of Science, Master of Science, Doctor of Philosophy, or equivalent experience.
  • Proven expertise in profiling, benchmarking, and optimising distributed or large-scale workloads.
  • Proficiency in one or more programming languages, with strong grounding in algorithms and performance optimisation.
  • Deep understanding of Linux internals, including scheduling, memory management, NUMA, networking, and filesystems.
  • Experience with HPC schedulers and Kubernetes workload orchestration.
  • Hands-on experience with heterogeneous compute, including GPUs, multi-core CPU workloads, and high-memory systems.
  • Experience communicating and collaborating across research, infrastructure, and engineering domains.
  • Familiarity with profiling and monitoring tools, including perf, eBPF, VTune, Flamegraphs, Prometheus, and Grafana.

Responsibilities

  • Define and deliver the long-term strategy for performance engineering across G-Research, enabling all engineers to maximise utilisation of the compute estate.
  • Provide leadership, mentoring, and career development for engineers, fostering a high-performance culture.
  • Communicate performance improvements and team impact effectively across technical and non-technical audiences.
  • Engage directly with researchers, senior stakeholders, and engineers to understand compute challenges and design optimised solutions.
  • Profile, benchmark, and tune large-scale workloads across CPU, GPU, and memory-intensive jobs.
  • Develop reference implementations, libraries, and tools to improve job efficiency and reliability.
  • Collaborate with systems, architecture, and platform teams to evolve the compute stack.
  • Influence long-term platform and infrastructure decisions.
  • Design and implement techniques to maximise utilisation of Linux HPC and Kubernetes compute environments.
  • Work closely with internal research and infrastructure teams to profile and analyse workloads, eliminate bottlenecks, and develop reference solutions.

About the Company

G-Research

Quantitative finance research applying rigorous methods

G-Research applies scientific rigour to solve complex challenges in financial markets. It brings together world-class researchers and engineers to develop data-driven models and trading ideas, testing them through rigorous experimentation and robust infrastructure. Unlike many traditional asset managers, its culture emphasizes deep exploration, reproducibility, methodical execution, and long-term thinking. The goal is to generate alpha through disciplined, evidence-based research that informs investment decisions and advances understanding of financial markets.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2001

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