We're looking to add a high-impact engineer to a small, specialised team responsible for the real-time risk and trading data platform that powers systematic strategies across the firm.
You’ll operate at the intersection of distributed systems, market data, and quantitative trading, designing high-reliability platforms that process large volumes of trading activity with strict latency and accuracy requirements.
Your Responsibilities (Full Spec Avail):
Engineer high-performance, distributed systems that power real-time portfolio intelligence across complex, multi-asset trading environments.
Build scalable analytics platforms and data pipelines that turn high-volume financial data into actionable insights on risk and P&L.
Architect mission-critical trading infrastructure to automate complex lifecycle workflows across derivatives and multi-asset portfolios.
Solve hard engineering problems at the intersection of systems and finance, working directly with traders and quantitative researchers to bring sophisticated strategies and analytics into production.
Own systems end-to-end, from architecture and performance optimisation to deployment, reliability, and continuous evolution in a latency-sensitive, business-critical environment.
About You:
Strong CompSci fundamentals (degree ideally in CompSci or equivalent)
4+ years building production software or data systems
Comfortable working with high-volume data pipelines, distributed services, or performance-sensitive platforms
Ownership mindset with the ability to take complex systems from design to production
Ready to build software where performance matters and every microsecond counts?
#J-18808-Ljbffr
Create a job alert for this search
Python Developer - London - Up to £160,000 Starting Base + ExceptionalBonuses/Benefits • Greater London, ENG, GB