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Consortia is seeking a Senior kdb+ Developer to lead technical delivery in capital markets. You will architect and scale systems handling billions of time-series rows in real-time and historical data.
You'll mentor junior engineers, collaborate with quant and trading teams, and own the full SDLC from development through to production support and optimisation. Expertise in kdb+, q, Unix/Linux is essential.
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