QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The Risk Team develop scalable software used by Risk Managers, Portfolio Managers and Quantitative Researchers across the business. This team is critical in building high-performance production systems, cloud-native services and engineering tooling that support our risk management capabilities.
Your future role within QRT
We are seeking an experienced Software Engineer to work within our Risk Team to help design and build the next generation of our risk platform. The role is expected to involve the following activities:
- Design, develop and maintain production-grade Python applications and services.
- Build scalable APIs, distributed systems and data pipelines supporting risk analytics and business workflows.
- Design and develop cloud-native applications using modern software engineering practices.
- Collaborate closely with Risk Managers and Quantitative Researchers to productionise analytical models and enhance existing platforms.
- Design reliable, observable and maintainable software with a strong focus on performance, scalability and operational excellence.
- Contribute to architecture discussions and continuously improve engineering standards, tooling and development practices across the team.
- Leverage modern AI-assisted development tools to improve software quality, developer productivity and delivery.
Your present skillset
- Excellent Python development skills
- Strong understanding of object-oriented design and software engineering principles
- Demonstrable experience designing, building and supporting high-quality production systems
- Good knowledge and experience of developing REST APIs and backend services
- Strong SQL knowledge
- Experience with distributed systems, asynchronous processing and data pipelines
- Ability to test, debug and optimise software with a strong focus on reliability and performance
- Experience with containerisation and CI/CD practices
- Demonstrable ability to communicate and collaborate effectively with technical and business stakeholders
- A passion for building robust, maintainable software and continuously improving engineering practices
Desirable to have experience or a willingness to learn in the following areas:
- Cloud-native technologies, including AWS, Docker, Kubernetes and infrastructure automation
- Monitoring and observability tooling such as Prometheus, Grafana, OpenTelemetry or similar technologies
- Modern backend and data technologies such as FastAPI, Kafka, Airflow, Terraform or gRPC
- Financial markets or another data-intensive, low-latency environment
- Quantitative analytics, trading or risk platforms
- AI-enabled engineering solutions, retrieval-augmented applications or agentic workflows
- Modern AI-assisted development tools as part of the software engineering lifecycle
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Qube Research & Technologies London, England Office
London, Hong Kong
Qube Research & Technologies London, England Office
160 Victoria Street, London, United Kingdom, SW1E 5LB
