
Software Engineer – Risk
Qube Research & Technologies1 month ago
London, United KingdomSenior
Responsibilities
- Design, develop, and maintain production-grade Python applications and services.
- Build scalable APIs, distributed systems, and data pipelines for risk analytics and business workflows.
- Develop cloud-native applications with a focus on performance, scalability, reliability, observability, and maintainability.
- Collaborate with Risk Managers and Quantitative Researchers to productionize analytical models and enhance existing platforms.
- Contribute to architecture discussions and improve engineering standards, tooling, and development practices.
- Use AI-assisted development tools to improve software quality, developer productivity, and delivery.
Requirements
- Excellent Python development skills and strong knowledge of object-oriented design and software engineering principles.
- Demonstrable experience designing, building, and supporting high-quality production systems.
- Experience developing REST APIs and backend services, with strong SQL knowledge.
- Experience with distributed systems, asynchronous processing, and data pipelines.
- Ability to test, debug, and optimize software with a focus on reliability and performance.
- Experience with containerization and CI/CD practices.
- Strong communication and collaboration skills with technical and business stakeholders.
- Experience or willingness to learn cloud-native technologies, monitoring and observability tooling, backend and data technologies, or infrastructure automation.
- Experience in financial markets, quantitative analytics, trading, risk platforms, or another data-intensive low-latency environment is desirable.
- Experience with AI-enabled engineering solutions, retrieval-augmented applications, agentic workflows, or modern AI-assisted development tools is desirable.
Benefits
- QRT offers initiatives and programs supporting employee work-life balance.
- The employer promotes an open, respectful, and diverse workplace and is an equal opportunity employer.
Tech Stack
Categories
BackendData Engineering