Our client is an exceptional hedge fund at the forefront of quantitative research and technology, seeking a Quantitative Support Engineer to join a highly visible platform team. This role sits at the intersection of trading, quantitative research, and engineering, with responsibility for supporting and maintaining the firm's critical research and trading infrastructure. You will act as the first line of support for platform-related issues, ensuring the reliability, stability, and performance of systems that underpin investment decisions.

They are looking for a proactive and technically curious engineer with a strong troubleshooting mindset and a genuine sense of ownership. The ideal candidate will be comfortable operating in a fast-paced environment, communicating with both technical and non-technical stakeholders, and solving complex infrastructure issues with a calm, methodical approach. Someone who enjoys improving processes, automating repetitive tasks, and working closely with traders, quants, and engineers will excel in this role.

• Act as the first point of contact for infrastructure and platform-related issues across research and trading environments
• Monitor platform health, alerts, logs, and dashboards to proactively identify and respond to incidents
• Investigate, troubleshoot, and resolve operational issues to minimise downtime and business impact
• Manage user onboarding, permissions, environment setup, and resource allocation requests
• Drive continuous improvements to monitoring, automation, documentation, and support processes

• Strong Linux systems administration and troubleshooting experience within production environments
• Solid understanding of networking fundamentals and cloud platforms, preferably AWS
• Experience with monitoring and observability tools such as Datadog, Prometheus, CloudWatch, or ELK
• Knowledge of Docker, Kubernetes, CI/CD pipelines, and scripting with Python or Bash
• Excellent communication skills, a structured problem-solving mindset, and the ability to perform under pressure in fast-paced environments such as trading, quantitative research, or financial services sectors