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- Tasks: Design and build low-latency components for a cutting-edge equities execution platform.
- Company: Join a top London quantitative investment firm with a focus on innovative trading infrastructure.
- Benefits: Enjoy a competitive package up to £300,000, plus bonuses and a dynamic work environment.
- Why this job: Be at the forefront of technology, collaborating with quants in a fast-paced, impactful setting.
- Qualifications: 5+ years C++ experience in latency-sensitive environments; STEM degree required.
- Other info: Contact daniel.mclagan@stanfordblack.com for more details or refer a friend for rewards!
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.
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.
Senior C++ Engineer employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior C++ Engineer
✨Tip Number 1
Make sure to brush up on your C++ skills, especially the latest standards like C++17 and C++20. Familiarity with low-latency systems is crucial, so be prepared to discuss your experience in optimising performance in high-pressure environments.
✨Tip Number 2
Network with professionals in the quantitative finance space. Attend meetups or online forums where you can connect with others who work in systematic equities or trading technology. This could lead to valuable insights and potential referrals.
✨Tip Number 3
Familiarise yourself with the specific technologies and tools used in market-data systems and execution platforms. Being able to speak knowledgeably about these during interviews will demonstrate your genuine interest and expertise in the field.
✨Tip Number 4
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss how you've tackled challenges in previous roles, particularly those involving multithreading and network protocols, as these are key aspects of the job.
We think you need these skills to ace Senior C++ Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ experience, especially in latency-sensitive environments. Include specific projects or roles where you've worked with execution or market-data systems, and mention any exposure to Java.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative finance and your ability to collaborate with quants. Mention how your skills align with the role's requirements and express your enthusiasm for contributing to a cutting-edge equities execution platform.
Highlight Relevant Skills: In your application, emphasise your familiarity with multithreading, network protocols, and performance profiling. These are crucial for the role, so make sure they stand out in your written materials.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is essential in a technical role like this.
How to prepare for a job interview at Stanford Black Limited
✨Showcase Your C++ Expertise
Be prepared to discuss your experience with modern C++ standards, particularly C++11 and beyond. Highlight specific projects where you've optimised latency and scalability, as this role demands a strong grasp of performance-sensitive environments.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your ability to tackle real-world problems. Prepare to explain your thought process in designing low-latency components and how you would approach integrating with brokers and dark pools.
✨Familiarity with Java is Key
While the focus is on C++, having a solid understanding of Java will be beneficial. Be ready to discuss any relevant experience you have with Java services and how you can leverage that knowledge in a mixed-language environment.
✨Communicate Clearly and Collaboratively
As the role involves working closely with quantitative researchers and traders, effective communication is crucial. Practice articulating complex technical concepts in a clear manner, and be prepared to discuss how you collaborate in fast-paced teams.
