Qube Research & Technologies

Fixed Income Risk Engineer (Python)

Qube Research & Technologies
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4 months ago
London, United KingdomSenior

Responsibilities

  • 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.
  • Partner with trading desks, risk, and operations to understand requirements and deliver solutions.
  • Investigate and resolve data discrepancies, risk inconsistencies, and production issues.
  • Improve system reliability, performance, and scalability.
  • Contribute to the evolution of risk and analytics infrastructure.

Requirements

  • Demonstrate solid knowledge of fixed-income products, including bonds, interest-rate swaps, bond futures, and repos.
  • Understand trade lifecycles, risk measures such as DV01, sensitivities and stress scenarios, PnL, and key risk drivers.
  • Have strong Python development and coding skills.
  • Have experience building and maintaining production systems.
  • Understand data pipelines, data processing, system design, and debugging.
  • Have experience with SQL and databases, plus familiarity with APIs and data integrations.
  • Have at least 5 years of professional software development experience.
  • Experience at a systematic investment manager, trading firm, bank, or asset manager is preferred.
  • Vendor or consultancy experience is considered when combined with strong fixed-income exposure.
  • Experience with distributed systems, cloud platforms, orchestration tools, cloud-based environments, containerization, and monitoring is desirable.
  • AWS experience, including EC2, S3, and Fargate, is preferred among the desirable qualifications.
  • Familiarity with Kubernetes, Grafana, and modern development environments such as Coder is desirable.

Benefits

  • QRT offers initiatives and programs intended to support employee health and work-life balance.
  • QRT is an equal opportunity employer and emphasizes an open, respectful, and diverse workplace.

Tech Stack

Categories

BackendData Engineering
Qube Research & Technologies

About Qube Research & Technologies

1,001-5,000 employees
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