Senior C++ Engineer (City of London)

Senior C++ Engineer – Systematic Equities Execution Platform

Compensation: up to £300,000 total package (base + bonus)

I’m partnering with one of London’s most successful quantitative investment firms as they scale a brand-new, market-leading equities execution platform. They’ve just secured fresh external capital and are doubling-down on real-time trading infrastructure that will power their global systematic strategies.

As the team’s go-to C++ authority, you’ll collaborate directly with quantitative researchers and traders to design and build greenfield low-latency components—collecting live market data, integrating with multiple brokers and dark pools, and driving advanced TCA and back-testing capabilities. You’ll split your time roughly 50/50 between cutting-edge C++ (latest standards) and evolving high-availability Java services, shaping the technical roadmap alongside senior stakeholders.

What you’ll be doing:

• Architect & code new execution and data-ingestion services in modern C++ (17/20) on Linux.
• Extend & refine existing frameworks that support research and post-trade analytics.
• Optimise latency & scalability across the full order-routing pipeline, from market-data capture to broker connectivity.
• Own critical components end-to-end: design, implementation, deployment, and production support.
• Influence strategy by partnering closely with quants to translate trading ideas into production-ready systems.

If you feel like your skills match up to who they’re looking for, then APPLY NOW!

Experience Needed:

• 5 + years professional C++ engineering experience (C++11 onward) in latency-sensitive environments.
• Previous hands-on work with execution or market-data systems—equities preferred.
• Some exposure to Java (you may be C++-heavy today but comfortable in both).
• Familiarity with multithreading, network protocols, and performance profiling.
• STEM degree (Computer Science, Engineering, Physics, Maths, etc.).
• Clear communicator who enjoys collaborating in fast-paced, research-driven teams.

Please contact daniel.mclagan@stanfordblack.com for more information.

If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.