Software Engineer – Risk

Quberesearchandtechnologies; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

QRT in London is seeking an experienced Software Engineer to join the Risk Team and help design and build the next generation of our risk platform.

You will design and maintain production-grade Python applications, build APIs and data pipelines, and collaborate with Risk Managers and Quant Researchers to productionise analytical models. This role focuses on performance, scalability, observability and modern software practices, with opportunities to apply AI-assisted development tools.

Qualifications

• Proficient Python development skills and OO design.
• Experience in production-grade software delivery.
• Strong knowledge of REST APIs and backend services.
• Solid SQL and data processing capabilities.
• Experience with distributed systems and asynchronous processing.
• Ability to test, debug and optimise for reliability and performance.
• Familiarity with containerisation and CI/CD practices.
• Effective communication with technical and business stakeholders.
• Passion for building robust, maintainable software and improving engineering practices.

Responsibilities

• Design, develop and maintain production-grade Python applications and services.
• Build scalable APIs, distributed systems and data pipelines for risk analytics.
• Develop cloud-native applications using modern software practices.
• Collaborate with Risk Managers and Quant Researchers to productionise analytical models.
• Design reliable, observable software with focus on performance and scalability.
• Contribute to architecture discussions and improve engineering standards across the team.
• Utilise AI-assisted development tools to improve quality and productivity.

Skills

Python

Object oriented design

Production systems

REST APIs

SQL

Distributed systems

Testing & debugging

Containerisation

CI/CD

Stakeholder communication

Maintainable software practices

Tools

Docker

CI/CD pipelines

Job description

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.