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- 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 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.
Quantitative Developer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨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 know about opportunities that aren’t advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your C++ prowess, make sure to highlight it. We love seeing real-world applications of your work, especially when it comes to low-latency systems.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with modern 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. We love seeing enthusiasm and a clear understanding of the role.
Showcase Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex performance issues or optimised systems. We’re all about analytical minds, so let us know how you approach challenges and find solutions!
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 you’re keen on joining our team at StudySmarter!
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 developed and executed will help you connect better with the traders and researchers during the interview.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice debugging scenarios or performance optimisation problems that could arise in a live trading environment. This will demonstrate your analytical skills and ability to think on your feet.
✨Show Your Collaborative Spirit
Since this role involves working closely with traders and researchers, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams to implement and optimise systems, highlighting your communication skills and teamwork.