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 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 challenges that have a direct impact on 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.
Quantitative Developer in Nottingham employer: Understanding Recruitment
As a leading global proprietary trading firm, we offer an exceptional work environment for Quantitative Developers, characterised by a highly technical and engineering-driven culture. Our remote-first setup promotes flexibility and a healthy work-life balance, while our commitment to employee growth is evident through close collaboration with traders and researchers on impactful projects. With competitive compensation, autonomy in your role, and opportunities for team bonding during yearly company vacations, we are dedicated to fostering a rewarding and meaningful career for our employees.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend virtual 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! Create a portfolio showcasing your projects, especially those involving C++ and low-latency systems. We love seeing real-world applications of your work, so make sure to highlight any performance optimisations you've achieved.
✨Tip Number 3
Prepare for technical interviews by brushing up on multithreading and performance optimisation 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’re always on the lookout for passionate candidates who are eager to dive into the world of quantitative trading.
We think you need these skills to ace Quantitative Developer in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with C++ and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in low-latency systems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative development and how your background makes you a perfect fit for our team. Let us know what excites you about working in a trading environment.
Show Off Your Problem-Solving Skills:In your application, include examples of how you've tackled complex engineering challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in high-pressure situations.
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. Plus, it shows us you’re keen on joining the StudySmarter family!
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 before the interview. Be prepared to discuss specific projects where you've implemented high-performance, low-latency systems. They’ll likely ask you about multithreading and concurrency, so have some examples ready that showcase your understanding.
✨Understand the Trading Environment
Familiarise yourself with the basics of trading systems, especially in high-frequency trading (HFT) or market-making contexts. Knowing how trading strategies are implemented and optimised will help you connect better with the team during the interview.
✨Prepare for Technical Challenges
Expect to face technical questions or even coding challenges during the interview. Practice debugging and performance optimisation scenarios, as they may present you with real-world problems to solve on the spot. This will demonstrate your analytical 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 complex ideas into practical solutions, as this will show your ability to communicate effectively in a technical environment.
