At a Glance
- Tasks: Build and optimise low-latency trading systems using cutting-edge C++ technology.
- Company: Global proprietary trading firm with a focus on innovation and performance.
- Benefits: Strong compensation, flexible hours, remote work, and yearly team vacations.
- Other info: Collaborate closely with traders and researchers in a dynamic, technical environment.
- Why this job: Tackle performance-critical challenges that directly impact trading success.
- Qualifications: Experience in modern C++, backend systems, and strong analytical skills.
The predicted salary is between 70000 - 90000 € 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.
Quantitative Developer in Glasgow employer: LinkedIn
As a Quantitative Developer at our global proprietary trading firm, you'll thrive in a highly technical and engineering-driven environment that fosters close collaboration with traders and researchers. We offer a flexible remote-first setup, competitive compensation, and a strong focus on employee growth, ensuring you have the autonomy to tackle performance-critical engineering challenges while maintaining a healthy work-life balance. Join us for yearly company vacations and be part of a dynamic team that values innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in Glasgow
✨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 make connections; you never know who might 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 it easy for us to find your best work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and system design knowledge. We love candidates who can think on their feet, so practice solving problems under pressure to impress us during the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who are eager to join our team and tackle performance-critical challenges.
We think you need these skills to ace Quantitative Developer in Glasgow
Some tips for your application 🫡
Show Off Your C++ Skills:Make sure to highlight your experience with modern C++. We want to see how you've tackled performance-critical problems and built low-latency systems in your previous roles.
Talk About Teamwork:Since we work closely with traders and researchers, share examples of how you've collaborated in the past. We love seeing how you can translate complex ideas into practical solutions!
Be Specific About Your Experience:When detailing your background, focus on specific projects or challenges you've faced. Mention any multithreading or concurrency work you've done, as it’s super relevant to what we need.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to get your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at LinkedIn
✨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. They’ll want to see that you can translate complex trading logic into efficient code.
✨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. It’s not just about coding; it’s about understanding the business impact of your work.
✨Prepare for Problem-Solving Questions
Expect to tackle some challenging analytical problems during the interview. Practice debugging scenarios or performance optimisation questions that could arise in a live trading environment. Show them your thought process and how you approach complex issues.
✨Show Your Collaborative Spirit
This role involves working closely with traders and researchers, so highlight your teamwork skills. Share examples of how you've successfully collaborated in past projects, especially in high-pressure situations. They’ll want to see that you can communicate effectively across technical and non-technical teams.
