kbd+ Developer

Consortia
London, UK
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Python (Programming Language) Systems Development Life Cycle Stream Processing

Requirements

Senior kdb+ Developer - Capital Markets InnovationAre you a seasoned kdb+ developer with a passion for high-performance systems and a deep understanding of capital markets? If you’re looking to lead technical delivery, mentor others, and shape the next generation of scalable time-series data platforms, this opportunity is for you.What’s on OfferYou’ll join a high-performing consulting team delivering mission-critical solutions for leading financial institutions, working across large-scale, data-intensive environments. With full autonomy and ownership of the development lifecycle, you’ll architect and scale systems that process billions of rows of real-time and historical market data.This is a chance to not only write exceptional code but to shape strategy, support and mentor colleagues, and stay at the forefront of kdb+, q, and adjacent technologies.What You’ll Be DoingLeading technical delivery across client-facing capital markets projectsDesigning and implementing robust kdb+ systems to manage massive time-series datasetsTranslating complex trading and analytical requirements into high-performance solutionsMentoring junior and mid-level developers, promoting technical excellenceOwning the full SDLC: from development through to support and optimisationDriving innovation in real-time data processing and analyticsWhat You’ll Bring5+ years of hands-on kdb+ and q experienceProven track record of scaling production-grade kdb+ systemsStrong Unix/Linux scripting skillsExcellent stakeholder engagement-able to communicate across quant, trading, and tech teamsDomain expertise in capital markets or investment bankingPassion for clean, elegant, and performant codeNice to HaveExperience with Python, AWS/GCP/Azure, or other time-series platformsFamiliarity with tick data, electronic trading, or real-time analyticsPrior leadership or people management experience

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