{"id":2599585,"url":"https://alion.io/job/qube-research-technologies-fixed-income-risk-engineer-python","title":"Fixed Income Risk Engineer (Python)","company":{"id":706156,"name":"Qube Research & Technologies","domain":"qube-rt.com","url":"https://alion.io/company/qube-research-and-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":172000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":125},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Fargate","optional":true},{"name":"CI/CD","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-04-20T17:24:04Z","employer_posted_date":"2026-05-08","last_verified_at":"2026-10-15T15:15:52Z","board_verified":true,"closed_at":null,"days_open":178,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":178},"description":"Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. \nYour future role within QRT \nThe Risk team build and maintain tools to support risk analysis and reporting for QRT’s trading businesses. This includes close collaboration with Risk Managers, Quantitative Traders, and Quantitative Researchers, across multiple asset classes, to ensure robust and scalable risk infrastructure. This particular opportunity will provide significant contributions for our Fixed Income function. \nDesign, build, and maintain production risk analytics tools and data services \nDevelop and support data pipelines and reporting systems used by trading and risk teams \nPartner with trading desks, risk, and operations to understand requirements and deliver solutions \nInvestigate and resolve data discrepancies, risk inconsistencies, and production issues \nImprove system reliability, performance, and scalability \nContribute to the evolution of risk and analytics infrastructure \nYour present skillset \nFixed Income Knowledge \nSolid understanding of Fixed Income products, including bonds, interest rate swaps, bond futures, repos \n\nExperience working with trading desks and/or risk teams \n\nUnderstanding of Trade lifecycle; Risk measures (e.g. DV01, sensitivities, stress scenarios); PnL and key risk drivers \n\nStrong Python development skills \nExperience building and maintaining production systems \nSolid understanding of: \nData pipelines and data processing \n\nSystem design and debugging \n\nExperience with SQL and databases \nFamiliarity with APIs and data integrations \n5+ years of professional software development experience with strong coding ability (Python preferred) \nExperience in a systematic investment manager frim, trading firm, bank, or asset manager is preferred \nVendor or consultancy experience considered if combined with strong Fixed Income exposure \nDesirable: \nExperience with distributed systems, cloud platforms, or orchestration tools \n\nExperience working in cloud-based environments (AWS preferred) and familiarity with services such as EC2, S3 and Fargate \n\nExposure to containerisation, orchestration, and monitoring tools (e.g. Kubernetes, Grafana) and modern development environments (e.g. CI/CD, Coder) \n\nQRT 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. 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