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 performance.
- Benefits: Competitive salary, bonuses, flexible hours, and remote-first work culture.
- Other info: Enjoy yearly company vacations and a dynamic, collaborative environment.
- Why this job: Tackle performance-critical challenges and make a real impact in trading.
- Qualifications: Strong C++ skills and experience in high-performance systems.
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 Role
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.
Locations
Quantitative Developer in Hampshire, Portsmouth employer: Understanding Recruitment
As a Quantitative Developer at our global proprietary trading firm, you'll thrive in a fully remote, highly technical environment that fosters close collaboration with traders and researchers. We offer a strong compensation package, flexible working hours, and a commitment to work-life balance, alongside unique opportunities for professional growth and the chance to tackle performance-critical engineering challenges that have a direct impact on our trading success.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to connect with people who are already in the game; they might just have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to low-latency systems or C++. We want to see what you can do, so make sure it’s easy for us to find and understand your work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and multithreading concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Quantitative Developer in Hampshire, Portsmouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quant Dev role. Highlight your C++ experience and any work you've done with low-latency systems. We want to see how your skills match up with what we're looking for!
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!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure you get your key points across without unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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.
✨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 give you an edge in discussions with traders and researchers.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some real-world problems during the interview. Think of examples where you've debugged complex performance issues or improved system reliability, and explain your thought process clearly.
✨Communicate Effectively
Collaboration is key in this role, so practice articulating your ideas and solutions. Be prepared to discuss how you would work with traders and engineers to translate trading logic into robust systems, highlighting your teamwork skills.
