Quantitative Support Engineer - Selby Jennings - #2112078

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, withresponsibilityforsupportingandmaintainingthefirm'scriticalresearchandtradinginfrastructure.Youwillactasthefirstlineofsupportforplatform-relatedissues,ensuringthereliability,stability,andperformanceofsystemsthatunderpininvestmentdecisions.

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, communicatingwithbothtechnicalandnon-technicalstakeholders,andsolvingcomplexinfrastructureissueswithacalm,methodicalapproach.Someonewhoenjoysimprovingprocesses,automatingrepetitivetasks,andworkingcloselywithtraders,quants,andengineerswillexcelinthisrole.

• 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