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G-Research

Quantitative finance research applying rigorous methods

Low Latency Network Engineer

DevOps & InfrastructureConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Experience designing and building highly available, mission-critical networks.
  • Experience optimizing low-latency networks, including Layer 1 switching, radio frequency, low Earth orbit, and dark fiber.
  • Experience with timing solutions using GPS, PTP, PPS, White Rabbit, and NTP.
  • Experience building packet capture and analysis solutions, including optical taps, SPAN, tap aggregation, and timestamping.
  • Experience running product evaluation and testing.
  • Experience building networks and market connectivity in exchange collocations.
  • Experience evaluating WAN connectivity options for optimal diversity and latency.
  • Experience configuring and troubleshooting multicast.
  • In-depth understanding of automation tools including Git, Python, Jenkins, and Ansible.

Responsibilities

  • Design and build new co-location network solutions to meet the needs of the platform.
  • Optimize the performance, latency, and throughput of the infrastructure.
  • Manage the lifecycle and monitoring of the co-location network environment.
  • Develop automation and operators to build and extend the infrastructure.
  • Work with platform and development teams to define standards and best practices and onboard new capabilities onto the platform.
  • Contribute to incident response and production reliability.
  • Participate in on-call responsibilities for the most critical parts of the infrastructure.

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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