eFinancialCareers
Quantitative Support Engineer
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.
Key Responsibilities
- 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
Key Skills & Experience
- 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
To apply for this job please visit www.reed.co.uk.
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