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- Tasks: Join a high-performance team to enhance trading strategies and improve software components.
- Company: A leading prop trading firm in London focused on high-frequency trading.
- Benefits: Work in a dynamic environment with opportunities for rapid skill development and collaboration.
- Why this job: Be part of a small team, directly impacting trading performance and strategy execution.
- Qualifications: Experience in low-latency Java/C++ applications; HFT experience preferred but not required.
- Other info: Collaborate closely with traders and researchers for immediate market response.
The predicted salary is between 43200 - 72000 £ per year.
Java Quantitative Developer – High Frequency Trading
Leading Prop Trading Firm
Location: London
Our client, a leading prop trading firm based in London, is looking for a Quant Developer to join their high-performance team.
As a quantitative developer, your aim is to improve the firm’s trading stack in any way that will make its trading strategies more competitive and profitable. In a high-frequency trading environment, this often means improving the end-to-end latency of the trading platform or increasing the scalability and precision of execution of the trading strategies.
Responsibilities
- Develop low latency trading engine and strategy runtime
- Develop and maintain exchange API connectivity and robust exchange connectors
- Full automation around deployment and monitoring of a 24/7 trading system
- Continuous profiling of trading system and strategy latency
- Understand and reverse engineer exchange architectures
You will be part of a small development team that shares the responsibility of the whole trading stack. As you own the code, deployment, and all tooling, you can rapidly and safely iterate on changes to the trading software.
Developers collaborate directly with traders and researchers, allowing for immediate reaction to market changes and fast iteration of live trading engines.
Skills
- Experience writing low-latency Java / C++ applications and architectures. HFT industry preferred but telecom and gaming industry experience also welcome
- Ability to get the best performance out of application and networking stack of on-premise and cloud environment
- Ability to benchmark, profile and trace full applications on Linux
- Ability to find and resolve latency and throughput bottlenecks
- Excited to pick up new skills to solve difficult problems (examples: eBPF, XDP, Intel PT)
- The ideal profile has experience in the HFT industry combining software development and networking skills (TCP / UDP / multicast / WebSocket / HTTP).
- While the firm is language agnostic, their current trading stack is mostly written in Java.
Seniority level: Mid-Senior level
Employment type: Full-time
Industries: Capital Markets and Financial Services
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Java Quantitative Developer - High Frequency Trading employer: Venture Search
Contact Detail:
Venture Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Java Quantitative Developer - High Frequency Trading
✨Tip Number 1
Familiarize yourself with low-latency Java and C++ applications. Since the role emphasizes performance optimization, having a solid understanding of these languages will help you stand out during discussions with our team.
✨Tip Number 2
Gain hands-on experience with high-frequency trading systems. If you can demonstrate your knowledge of trading strategies and how to improve latency, it will show us that you're ready to contribute from day one.
✨Tip Number 3
Brush up on your networking skills, especially TCP, UDP, and WebSocket protocols. Understanding these will be crucial for developing robust exchange connectors and improving the overall trading stack.
✨Tip Number 4
Be prepared to discuss your problem-solving approach. We value candidates who are excited to learn new skills and tackle complex challenges, so think of examples where you've successfully resolved performance bottlenecks.
We think you need these skills to ace Java Quantitative Developer - High Frequency Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with low-latency Java applications and any relevant work in high-frequency trading. Emphasize your skills in networking and performance optimization.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to improve trading systems and your familiarity with the HFT environment.
Showcase Relevant Skills: Clearly outline your technical skills related to the job description, such as experience with benchmarking, profiling applications on Linux, and resolving latency issues. Use concrete examples to illustrate your expertise.
Highlight Collaboration Experience: Since the role involves working closely with traders and researchers, mention any past experiences where you collaborated with cross-functional teams. This will show your ability to communicate effectively and adapt quickly to market changes.
How to prepare for a job interview at Venture Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with low-latency Java and C++ applications. Highlight specific projects where you improved performance or resolved latency issues, as this will demonstrate your capability to contribute to their trading stack.
✨Understand the Trading Environment
Familiarize yourself with high-frequency trading concepts and the challenges associated with it. Being able to discuss how you can improve end-to-end latency or scalability will show that you understand the firm's needs.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss examples of difficult problems you've solved in previous roles, especially those related to application performance or networking. This will illustrate your ability to think critically and adapt in a fast-paced environment.
✨Engage with the Team Dynamics
Since collaboration is key in this role, express your enthusiasm for working closely with traders and researchers. Share experiences where teamwork led to successful outcomes, emphasizing your communication skills and adaptability.
