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- Tasks: Build and optimise trading infrastructure for algorithmic pricing and execution strategies.
- Company: Join a leading firm at the forefront of financial technology and trading.
- Benefits: Enjoy competitive pay, flexible working options, and a dynamic team environment.
- Why this job: Make a real impact on trading performance while collaborating with top professionals in finance.
- Qualifications: Strong Java skills and experience in low-latency systems are essential.
- Other info: Work in a fast-paced front-office role that directly influences profit and loss.
The predicted salary is between 43200 - 72000 £ per year.
You will be building and optimizing cutting-edge trading infrastructure that supports algorithmic pricing, market-making, and execution strategies across a wide range of asset classes. This is a high-impact, front-office engineering role where technical excellence, business acumen, and speed are critical. You’ll work closely with traders, quants, and other technologists to deliver ultra-low-latency systems that directly affect P&L.
Key Responsibilities:
- Design, develop, and optimise low-latency trading components in Java.
- Collaborate with quantitative analysts and traders to integrate models into production.
- Build event-driven, multi-threaded systems with microsecond-level performance targets.
- Analyse performance bottlenecks and continuously improve system latency and throughput.
- Ensure high availability and resilience of trading applications in dynamic markets.
Requirements:
- Strong core Java (11+) skills, including memory management and concurrency.
- Proven experience developing low latency systems in a trading environment.
- Solid understanding of network I/O, serialisation, and real-time messaging frameworks (e.g., Aeron, Chronicle, SBE).
- Familiarity with performance profiling tools (e.g., JMH, perf, YourKit).
- Experience working in a Linux environment with a focus on real-time tuning.
- Ability to work directly with trading and quant teams in a fast-paced front-office environment.
Quant Developer employer: Fourier Ltd
Contact Detail:
Fourier Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and low-latency systems. Understanding the current market dynamics and technologies will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the trading and quant development space. Attend industry meetups or online forums to connect with potential colleagues and learn about their experiences, which can give you insights into what we value at StudySmarter.
✨Tip Number 3
Brush up on your Java skills, especially focusing on concurrency and memory management. Being able to demonstrate your technical prowess in these areas will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific projects where you've optimised performance in low-latency systems. Real-world examples of your problem-solving abilities will resonate well with our team and showcase your fit for the role.
We think you need these skills to ace Quant Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong core Java skills and any experience you have with low-latency systems. Include specific projects or roles where you've worked in a trading environment, showcasing your technical excellence.
Craft a Compelling Cover Letter: In your cover letter, express your passion for algorithmic trading and your understanding of the role's impact on P&L. Mention your experience with performance profiling tools and how you've optimised systems in the past.
Showcase Relevant Projects: If you have worked on relevant projects, either professionally or as personal endeavours, include them in your application. Detail your contributions, the technologies used, and the outcomes achieved, especially focusing on low-latency and multi-threaded systems.
Highlight Collaboration Skills: Since the role involves working closely with traders and quants, emphasise your ability to collaborate effectively. Provide examples of how you've successfully integrated models into production or worked in a fast-paced team environment.
How to prepare for a job interview at Fourier Ltd
✨Showcase Your Java Expertise
Make sure to highlight your strong core Java skills during the interview. Be prepared to discuss specific projects where you've implemented memory management and concurrency, as these are crucial for the role.
✨Demonstrate Low-Latency Experience
Discuss your previous experience developing low-latency systems in a trading environment. Provide examples of how you optimised performance and handled real-time data processing, as this will show your capability to meet the demands of the position.
✨Familiarity with Tools and Frameworks
Be ready to talk about your experience with network I/O, serialisation, and real-time messaging frameworks like Aeron or Chronicle. Mention any performance profiling tools you've used, such as JMH or YourKit, to demonstrate your technical depth.
✨Collaboration is Key
Emphasise your ability to work closely with traders and quantitative analysts. Share examples of how you've successfully collaborated in a fast-paced environment, as teamwork is essential for delivering effective trading solutions.
