About this role
Salary: £43,500 - 71,500 per year
Requirements: 5+ years of hands-on kdb+ and q experienceProven track record of scaling production-grade kdb+ systemsStrong Unix/Linux scripting skillsExcellent stakeholder engagement with the ability to communicate across quant, trading, and technology teamsDomain expertise in capital markets or investment bankingPassion for clean, elegant, and performant codeExperience with Python, AWS, GCP, Azure, or other time-series platforms is desirableFamiliarity with tick data, electronic trading, or real-time analytics is desirablePrior leadership or people management experience is desirable Responsibilities: Lead technical delivery across client-facing capital markets projectsDesign and implement robust kdb+ systems to manage massive time-series datasetsTranslate complex trading and analytical requirements into high-performance solutionsMentor junior and mid-level developers and promote technical excellenceOwn the full SDLC from development through to support and optimisationDrive innovation in real-time data processing and analytics Technologies: AWSArchitectAzureGCPSupportLinuxPythonQuantUnixCloudDevOps More:
We are a high-performing consulting team delivering mission-critical solutions for leading financial institutions across large-scale, data-intensive environments. We offer full autonomy and ownership of the development lifecycle, giving you the opportunity to architect and scale systems that process billions of rows of real-time and historical market data. You will help shape strategy, support and mentor colleagues, and stay at the forefront of kdb+, q, and adjacent technologies in a capital markets innovation setting.
last updated 36 week of 2026