Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and optimise low-latency trading systems with cutting-edge C++ technology.
- Company: Global proprietary trading firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, bonuses, flexible hours, and remote-first work culture.
- Other info: Join a dynamic team with opportunities for growth and yearly company retreats.
- Why this job: Tackle performance-critical engineering challenges that directly impact trading success.
- Qualifications: Strong C++ skills and experience in high-performance systems required.
The predicted salary is between 60000 - 80000 £ per year.
We’re currently hiring a Quant Dev to work on the systems underpinning a global proprietary trading firm. This role sits at the intersection of quantitative research, trading logic, and high-performance C++ engineering, with a strong focus on building and optimising latency-sensitive trading systems operating under real production load. The environment is highly technical and engineering-driven, with engineers working very closely alongside traders and researchers on live trading infrastructure and strategy development.
The trading team is growing rapidly, creating increasing demand for engineers who can help implement, optimise, and maintain live trading strategies at production quality and speed. This hire will work closely with traders and researchers to translate trading ideas into robust, performance-critical systems, with a strong focus on latency, reliability, and scalability.
Responsibilities
- Build and optimise low-latency trading systems and strategy infrastructure.
- Translate quantitative research and trading logic into production-grade C++ systems.
- Improve latency, throughput, and reliability across live trading infrastructure.
- Work on multithreaded and performance-critical backend systems operating under real production load.
- Collaborate closely with traders, researchers, and engineers on strategy implementation and optimisation.
- Debug and resolve complex performance and infrastructure bottlenecks across live environments.
Required Skills & Experience
- Strong modern C++ experience within backend or systems engineering environments.
- Experience building high-performance, low-latency, or high-throughput systems.
- Strong understanding of multithreading, concurrency, and distributed systems concepts.
- Strong analytical and problem-solving capabilities.
- Experience working within Linux environments.
- Exposure to trading systems, quant infrastructure, HFT, or market-making environments is beneficial.
- Strong debugging and performance optimisation capabilities.
Why This Role
- Performance-critical engineering problems with direct business impact.
- Lean, highly technical environment.
- High ownership and autonomy.
- Close proximity to the trading side of the business.
- Strong compensation package including bonus.
- Flexible working hours and healthy work-life balance.
- Remote-first setup.
- Yearly company vacations with the wider team.
Financial Developer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in trading or quant roles. Use platforms like LinkedIn to connect and engage with them. You never know when a casual chat could lead to a job opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and low-latency systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ knowledge and understanding of multithreading and performance optimisation. Practice coding challenges that focus on these areas to boost your confidence before the big day.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us build and optimise our trading systems. Your next big opportunity could be just a click away!
We think you need these skills to ace Financial Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Financial Developer role. Highlight your C++ experience and any work you've done with low-latency systems. We want to see how your skills align with our needs!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to build and optimise trading systems. If you've worked on multithreaded applications or performance-critical systems, let us know!
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for quantitative research and trading logic. Tell us why you're excited about this role and how you can contribute to our team at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Understanding Recruitment
✨Know Your C++ Inside Out
Make sure you brush up on your modern C++ skills. Be prepared to discuss specific projects where you've built high-performance systems, and be ready to dive into technical details about multithreading and concurrency. This is crucial for demonstrating your fit for the role.
✨Understand the Trading Environment
Familiarise yourself with low-latency trading systems and the concepts behind quantitative research. Knowing how trading strategies are implemented and optimised will help you speak the same language as the traders and researchers you'll be collaborating with.
✨Prepare for Problem-Solving Questions
Expect to tackle some complex performance issues during the interview. Brush up on your debugging techniques and think through examples of how you've resolved bottlenecks in past projects. This will showcase your analytical skills and problem-solving capabilities.
✨Show Your Collaborative Spirit
Since this role involves close collaboration with traders and researchers, be ready to discuss how you've worked in teams before. Highlight any experiences where you translated technical ideas into actionable strategies, as this will demonstrate your ability to bridge the gap between engineering and trading.