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For Companies At a Glance
- 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 learning from traders and researchers.
- Qualifications: Experience in low-latency Java/C++ applications; HFT experience preferred but not required.
- Other info: Opportunity to work with cutting-edge technologies and solve complex problems.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Java Quant Developer
Leading Prop Trading Firm
London
Our client, a leading prop trading firm based in London, are 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.
Requirements
Responsibilities
Your main responsibilities are developing and rapidly evolving their main software components:
- Develop low latency trading engine and strategy runtime
- Develop market data distribution platform (internal binary protocols)
- 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
Skill
- 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.
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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 the specific technologies and frameworks used in high-frequency trading. Understanding Java's low-latency capabilities and how to optimize performance will give you a significant edge during interviews.
✨Tip Number 2
Engage with the HFT community through forums, webinars, or local meetups. Networking with professionals in the field can provide insights into the latest trends and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with latency optimization and profiling tools. Be ready to share specific examples of how you've improved system performance in previous roles.
✨Tip Number 4
Show your enthusiasm for continuous learning by exploring new technologies relevant to the role, such as eBPF or Intel PT. Highlighting your willingness to adapt and grow can set you apart from other candidates.
We think you need these skills to ace Java Quantitative Developer - High Frequency Trading
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Java Quantitative Developer in a high-frequency trading environment. Tailor your application to highlight relevant experiences and skills that align with these expectations.
Highlight Relevant Experience: Emphasize your experience with low-latency Java or C++ applications, especially in the HFT industry. Include specific projects or achievements that demonstrate your ability to improve performance and resolve latency issues.
Showcase Technical Skills: Detail your technical skills related to networking (TCP/UDP/multicast/WebSocket) and any experience with benchmarking and profiling applications on Linux. Mention any familiarity with tools or technologies like eBPF, XDP, or Intel PT.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Explain why you are excited about the opportunity to work in a fast-paced trading environment and how you can contribute to the team.
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 bottlenecks, as this will demonstrate your capability in a high-frequency trading environment.
✨Understand the Trading Stack
Familiarize yourself with the components of a trading stack, especially those related to market data distribution and exchange connectivity. Being able to discuss how these elements interact will show your depth of knowledge and readiness to contribute.
✨Demonstrate Problem-Solving Skills
Prepare to discuss challenging problems you've faced in previous roles, particularly those involving latency issues or application performance. Use specific examples to illustrate your thought process and the solutions you implemented.
✨Engage with the Team Dynamics
Since you'll be working closely with traders and researchers, express your enthusiasm for collaboration. Share experiences where teamwork led to successful outcomes, emphasizing your ability to communicate effectively across disciplines.
