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Location   

London / Remote

Type   

Contract

Salary   

£500 - £700 per day

Sector   

Python

Reference   

39662

Contact   

Josh Hares

Telephone

+44 203 397 4565


Senior kdb+ Developer – Capital Markets Innovation

Are 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 Offer

You’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 Doing

  • Leading technical delivery across client-facing capital markets projects

  • Designing and implementing robust kdb+ systems to manage massive time-series datasets

  • Translating complex trading and analytical requirements into high-performance solutions

  • Mentoring junior and mid-level developers, promoting technical excellence

  • Owning the full SDLC: from development through to support and optimisation

  • Driving innovation in real-time data processing and analytics

What You’ll Bring

  • 5+ years of hands-on kdb+ and q experience

  • Proven track record of scaling production-grade kdb+ systems

  • Strong Unix/Linux scripting skills

  • Excellent stakeholder engagement—able to communicate across quant, trading, and tech teams

  • Domain expertise in capital markets or investment banking

  • Passion for clean, elegant, and performant code

Nice to Have

  • Experience with Python, AWS/GCP/Azure, or other time-series platforms

  • Familiarity with tick data, electronic trading, or real-time analytics

  • Prior leadership or people management experience

 


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