Quantitative Developer - Python
Technology
Qube Research & TechnologiesHong Kong, 中国1个月前截至 2026/11/23
全职现场办公
职位描述
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges.
QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
- A key member of the development team, building and enhancing key components for QRT
- Building and supporting new quantitative trading framework software
- Designing clean architecture and leveraging state of the art tools and components
- Alerting: Define alert thresholds, reduce alert noise, and ensure actionable and meaningful alerts
- Incident Response: Develop and optimize on-call processes and incident response playbooks.
- Service Reliability: Analyze system performance metrics and conduct root cause analysis for outages and degradations
- Automation: Automate response to common issues and improve self-healing capabilities
- Collaboration: Partner with development teams to instrument applications and ensure SLIs/SLOs/SLAs are well-defined and tracked
Participate in the on-call rotation
- 2-10 years’ professional experience
- Advanced skills in one or several programming languages
- Strong Python skills for automation and scripting, very high standards in code quality and good development practices
- Knowledge of real-time systems, high performance computing and quantitative applications an advantage
- Familiarity with container orchestration (e.g., Kubernetes) and cloud platforms (AWS specifically is a plus)
- Experience working in a high-availability, low-latency environment
Keywords
PythonAutomationScriptingCode qualityReal-time systemsHigh performance computingQuantitative applicationsContainer orchestrationKubernetesCloud platformsAWSHigh-availabilityLow-latencyIncident responseSystem performance metricsRoot cause analysisQuantitative DeveloperSystem performanceSLISLO
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