Quantitative Risk Engineer- Fixed Income

We are partnering with a leading technology-driven investment firm to hire a Fixed Income Risk Engineer - Python in a highly technical, engineering-led environment.

The role sits within a specialist Risk Engineering function, building and maintaining the tools, data services and infrastructure that support risk analysis and reporting across trading businesses. You will work closely with Risk Managers, Quantitative Traders and Quantitative Researchers across multiple asset classes, with a particular focus on Fixed Income.

As a Fixed Income Risk Engineer, you will:

• Design, build and maintain production risk analytics tools and data services
• Develop and support data pipelines and reporting systems used by trading and risk teams
• Work closely with trading desks, risk and operations teams to understand requirements and deliver robust solutions
• Investigate and resolve data discrepancies, risk inconsistencies and production issues
• Improve the reliability, performance and scalability of risk systems
• Contribute to the evolution of risk and analytics infrastructure
• Work with Fixed Income products including bonds, interest rate swaps, bond futures and repos
• Support risk analysis across areas including DV01, sensitivities, stress scenarios, PnL and key risk drivers
• Help build scalable systems capable of supporting complex trading and risk workflows

• 5+ years of professional software development experience with strong coding ability, particularly in Python
• Strong understanding of Fixed Income products and markets
• Experience working with trading desks, risk teams or closely related functions
• Good understanding of trade lifecycle, risk measures, PnL and key risk drivers
• Proven experience building and maintaining production systems
• Strong understanding of data pipelines and data processing
• Solid knowledge of system design, debugging and troubleshooting
• Experience with SQL and databases
• Familiarity with APIs and data integrations
• Ability to work effectively with technical and non-technical stakeholders
• Experience in a systematic investment manager, trading firm, bank or asset manager is preferred
• Vendor or consultancy experience will also be considered where combined with strong Fixed Income exposure
• Experience with distributed systems, cloud platforms or orchestration tools
• Experience working in cloud-based environments, particularly AWS
• Familiarity with services such as EC2, S3 and Fargate
• Exposure to containerisation, orchestration and monitoring tools such as Kubernetes and Grafana
• Experience with modern development environments and CI/CD practices

This is an opportunity to join a highly technical investment environment, working at the intersection of Fixed Income, quantitative trading, risk and software engineering, with significant ownership over the systems supporting critical risk processes.