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Consortia Group in London seeks a senior kdb+ developer to lead technical delivery on capital markets projects, mentoring others and shaping scalable time-series data platforms. You will architect high-performance kdb+ and q solutions, own the SDLC from development through to production support, and collaborate with quant, trading and technology teams to translate complex requirements into robust systems.
The role offers autonomy, exposure to large-scale data, and the opportunity to stay at the
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.
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.
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
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
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