At a Glance
- Tasks: Design and optimise ultra-low latency C++ trading components in high-performance environments.
- Company: Join MARGO, a tech-native consultancy in elite financial markets.
- Benefits: Competitive salary, access to cutting-edge technology, and opportunities for professional growth.
- Why this job: Work on critical trading systems and make a real impact in fast-paced environments.
- Qualifications: Strong C++ experience in performance-critical systems and knowledge of CPU architecture.
- Other info: Engage in intellectually demanding projects with a focus on low-latency engineering.
The predicted salary is between 36000 - 60000 £ per year.
Join MARGO in the UK (London) – High Performance Trading Environments. MARGO is a tech-native consultancy delivering elite software engineering expertise to the most demanding financial markets environments. We operate in latency-critical trading contexts where performance, determinism and predictability are core system requirements. Our consultants work in highly specialised trading environments, designing systems that interact directly with exchanges and market venues under extreme time constraints.
Business Context
- You will join a High Frequency Trading / Low Latency Trading environment within one of our partners (investment banks, proprietary trading firms or market makers).
- The teams design, build and operate latency-sensitive trading systems directly connected to exchanges, typically deployed in colocated environments.
- Microsecond to sub‑microsecond latency constraints.
- Deterministic and predictable execution paths.
- Minimal software and network overhead.
- Direct interaction with market data feeds and order gateways.
Role Overview
We are looking for a C++ Software Engineer to work on latency‑critical trading infrastructure. The role is strongly engineering‑driven and focuses on speed, predictability and control of execution rather than functional feature delivery. Depending on the environment, the role may also involve interaction with C# components used outside the ultra‑latency‑critical execution path.
Key Responsibilities
- Core HFT Engineering
- Design, develop and optimise ultra‑low latency C++ trading components.
- Work on critical execution paths for market data processing and order routing.
- Implement lock‑free and wait‑free algorithms.
- Optimise memory allocation, cache locality and CPU utilisation.
- Reduce jitter and tail latency.
- Analyse and optimise CPU behaviour (branch prediction, cache misses, NUMA effects).
- Work closely with infrastructure and network teams on kernel bypass and user‑space networking.
- Profile systems at instruction‑level and hardware‑counter granularity.
- Ensure correctness, determinism and stability of production trading systems.
- Participate in production releases and live deployments.
- Investigate latency regressions and production anomalies.
- Maintain rigorous operational discipline.
- C# may be used outside the latency‑critical execution path for:
- Monitoring and control tooling.
- Configuration and orchestration services.
- Risk guards, limits and kill‑switch mechanisms.
- Real‑time dashboards and operational analytics.
Technical Environment
- Core Technologies
- Modern C++ (C++17/20).
- Lock‑free programming.
- Custom memory allocators.
- Zero‑copy architectures.
- Linux (advanced / low‑level understanding).
- CPU pinning.
- Huge pages.
- NUMA architectures.
- Networking TCP / UDP market data feeds.
- Multicast.
- Kernel bypass technologies (DPDK, Solarflare Onload or equivalent).
- CPU profilers and hardware performance counters.
- Packet capture and latency measurement tools.
- Exchange simulators and market data replay tools.
Required Experience & Skills
- Essential
- Strong experience in C++ development for performance‑critical or low‑latency systems.
- Proven background in HFT or ultra‑low latency trading environments.
- Deep understanding of CPU architecture, caches and memory models.
- Strong knowledge of concurrency, memory ordering and Linux internals.
- Experience working close to hardware and network layers.
- Strong production mindset and sense of ownership.
- Exposure to C# in trading, control or monitoring systems.
- Experience with market data feed handlers or order gateways.
- Prior exposure to market making or proprietary trading environments.
- Experience with FPGA‑assisted or hybrid architectures.
Why Join MARGO
- Access to elite HFT and ultra‑low latency trading environments.
- Technically extreme and intellectually demanding engineering assignments.
- Clear separation between execution‑critical and supporting systems.
- Human‑sized consultancy with very high technical standards.
- Long‑term positioning on rare, high‑value low‑latency engineering skillsets.
Important Note
This role is not suitable for candidates with a C#-only background. Core execution systems are implemented in C++. Please note - We do not offer visa sponsorship for this position.
Interested? Motivated? Apply on our website or at staff.uk@margo.com.
C++ Developer – High Frequency Trading (HFT Systems) employer: Margo
Contact Detail:
Margo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ Developer – High Frequency Trading (HFT Systems)
✨Tip Number 1
Network like a pro! Attend tech meetups, conferences, or even online webinars related to C++ and high-frequency trading. It's a great way to meet industry insiders who might just have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your C++ projects, especially those that highlight low-latency systems. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of CPU architecture and memory models. Practice coding challenges that focus on performance-critical systems to impress during the interview process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining MARGO and our exciting projects.
We think you need these skills to ace C++ Developer – High Frequency Trading (HFT Systems)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ experience, especially in performance-critical or low-latency systems. We want to see how your skills align with the ultra-low latency trading environments we operate in.
Showcase Relevant Projects: Include any projects that demonstrate your expertise in HFT or ultra-low latency systems. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about high-frequency trading and how your background makes you a perfect fit for our team. We want to feel your enthusiasm!
Apply Through Our Website: For the best chance of success, apply directly through our website. It’s the quickest way for us to see your application and get the ball rolling. We can’t wait to hear from you!
How to prepare for a job interview at Margo
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills, especially the latest standards like C++17 and C++20. Be prepared to discuss lock-free programming and memory allocation techniques, as these are crucial for high-frequency trading systems.
✨Understand Latency Constraints
Familiarise yourself with the concepts of microsecond and sub-microsecond latency. Be ready to explain how you would optimise code for performance and reduce jitter in trading applications. This shows you understand the demands of the role.
✨Get Hands-On with Hardware
Since this role involves working closely with hardware, make sure you can talk about CPU architecture, cache behaviour, and NUMA effects. If you've had experience profiling systems or using performance counters, be sure to highlight that!
✨Show Your Production Mindset
Demonstrate your sense of ownership by discussing past experiences where you ensured the stability and correctness of production systems. Talk about any challenges you faced and how you resolved latency regressions or anomalies in live environments.