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: Enjoy yearly company vacations and a healthy work-life balance.
- 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 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 Cheshire, Warrington employer: Understanding Recruitment
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, a strong compensation package, and ample opportunities for professional growth, all while maintaining a healthy work-life balance. Join us 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 Cheshire, Warrington
✨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 traders and engineers; they might just have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing practical examples of your C++ prowess and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your multithreading and performance optimisation knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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’re always on the lookout for passionate candidates who are ready to dive into the world of low-latency trading systems.
We think you need these skills to ace Quantitative Developer in Cheshire, Warrington
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. 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 a good idea to read up on high-frequency trading (HFT) and market-making to show you’re genuinely interested in the field.
✨Prepare for Problem-Solving Questions
Expect to tackle some challenging analytical problems during the interview. Practice debugging scenarios and think through how you would resolve performance bottlenecks in a live trading environment. Being able to articulate your thought process clearly will impress the interviewers.
✨Show Your Collaborative Spirit
This role involves working closely with traders and researchers, so highlight any experience you have in collaborative environments. Be ready to discuss how you’ve worked in teams to implement and optimise strategies, and demonstrate your ability to communicate technical concepts to non-technical stakeholders.
