At a Glance
- Tasks: Design and develop high-performance C++ trading applications in a fast-paced environment.
- Company: Elite algorithmic market-making firm with a focus on cutting-edge technology.
- Benefits: Up to £350,000 base salary, bonuses, and comprehensive benefits package.
- Why this job: Join a world-class team and make a real impact on trading performance.
- Qualifications: 4+ years in C++ development with strong knowledge of algorithms and data structures.
- Other info: Hybrid working model with rapid career progression and emphasis on work-life balance.
An elite algorithmic market‑making firm is seeking a high‑performance C++ Software Engineer to join a world‑class engineering team building some of the fastest trading systems in global financial markets. This is a true low‑latency role where software performance directly impacts P&L. You will work in an intellectually demanding, fast‑paced environment alongside elite engineers, quantitative researchers, and traders, using cutting‑edge technology to solve complex performance‑critical problems.
As a C++ Software Engineer, you will play a critical role in the design, development, and optimisation of ultra‑low‑latency trading systems operating in live markets.
Key responsibilities include:- Designing and developing high‑performance C++ trading applications
- Optimising code paths for maximum speed and minimal latency
- Collaborating closely with quantitative researchers and traders to implement and enhance trading algorithms
- Building and maintaining low‑latency networking and communication protocols
- Conducting detailed performance analysis, profiling, and tuning of critical system components
- Work on mission‑critical systems where engineering excellence drives trading performance
- Exposure to state‑of‑the‑art technology and modern low‑latency engineering practices
- Exceptional professional growth in a highly technical, performance‑driven environment
- Highly competitive compensation, bonus structure, and comprehensive benefits package
- Strong emphasis on health, well‑being, and sustainable work‑life balance
- Rapid career progression and collaboration with top‑tier infrastructure and trading teams
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 4+ years professional experience developing high‑performance systems in C++
- Strong fundamentals in data structures, algorithms, and software design
- Experience with multi‑threaded programming and real‑time systems
- Proficiency in Linux/Unix environments
- Experience with network programming (TCP/IP, UDP) is advantageous
- Knowledge of hardware‑level optimisation (SIMD, GPU, CPU cache optimisation) is a plus
If you are a C++ Software Engineer looking to work at the cutting edge of high‑frequency trading technology, please apply with an up‑to‑date CV or email for more information.
C++ Software Engineer - Hybrid working - Up to £350,000 Base (+ Bonus) in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ Software Engineer - Hybrid working - Up to £350,000 Base (+ Bonus) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your C++ skills and be ready to tackle coding challenges. We recommend practicing with real-world problems to show off your low-latency expertise.
✨Tip Number 3
Showcase your projects! Whether it's GitHub repos or personal projects, we want to see what you've built. Highlight any high-performance systems you've worked on to catch the eye of recruiters.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace C++ Software Engineer - Hybrid working - Up to £350,000 Base (+ Bonus) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your C++ experience and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Showcase Your Projects: Include specific examples of high-performance systems you've developed or optimised. We love seeing real-world applications of your skills, especially in low-latency environments.
Keep It Concise: While we appreciate detail, keep your application concise and to the point. Highlight the most relevant experiences and skills that make you a great fit for this role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Hunter Bond
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss advanced topics like multi-threading, real-time systems, and performance optimisation techniques. Practising coding problems that focus on data structures and algorithms will also help you demonstrate your technical prowess.
✨Understand the Trading Environment
Familiarise yourself with the basics of high-frequency trading and how low-latency systems operate. Knowing how trading algorithms work and the impact of software performance on P&L will show your potential employer that you're not just a coder, but someone who understands the business side of things too.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during your interview. Practice explaining your thought process while solving problems, as interviewers often look for how you approach issues rather than just the final answer. Be ready to discuss past projects where you optimised code or improved system performance.
✨Showcase Your Collaboration Skills
Since you'll be working closely with quantitative researchers and traders, it's important to highlight your teamwork abilities. Prepare examples of how you've successfully collaborated in the past, especially in high-pressure environments. This will demonstrate that you can thrive in the fast-paced world of algorithmic trading.