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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, known for its competitive edge in high-frequency trading.
- Benefits: Enjoy a dynamic work environment with opportunities for rapid skill development and collaboration.
- Why this job: Be part of a small team where your contributions directly impact trading success and innovation.
- Qualifications: Experience in low-latency Java/C++ applications; HFT experience preferred but not mandatory.
- Other info: Work closely with traders and researchers for immediate feedback and fast-paced iterations.
The predicted salary is between 43200 - 72000 £ per year.
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.
Responsibilities- 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.
Quantitative Developer - High-Frequency Trading Firm employer: Venture Search
Contact Detail:
Venture Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - High-Frequency Trading Firm
✨Tip Number 1
Familiarise yourself with low-latency programming techniques, especially in Java and C++. Understanding how to optimise performance in these languages will give you a significant edge. Consider working on personal projects or contributing to open-source projects that focus on high-frequency trading.
✨Tip Number 2
Network with professionals in the high-frequency trading space. Attend industry meetups, webinars, or conferences where you can connect with current quant developers. Building relationships can often lead to job opportunities that aren't publicly advertised.
✨Tip Number 3
Stay updated on the latest trends and technologies in high-frequency trading. Follow relevant blogs, podcasts, and forums to understand the challenges and innovations in the field. This knowledge will not only help you in interviews but also demonstrate your passion for the industry.
✨Tip Number 4
Prepare for technical interviews by practising coding problems that focus on algorithms and data structures, particularly those that relate to performance optimisation. Websites like LeetCode or HackerRank can be great resources for honing your skills in this area.
We think you need these skills to ace Quantitative Developer - High-Frequency Trading Firm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in low-latency Java or C++ applications, especially if you have a background in high-frequency trading. Emphasise any specific projects or roles that demonstrate your ability to improve trading systems.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the firm. Discuss your understanding of the challenges in high-frequency trading and how your skills can contribute to improving their trading stack. Be specific about your experience with latency issues and performance optimisation.
Showcase Relevant Skills: When detailing your skills, focus on those mentioned in the job description, such as benchmarking, profiling, and resolving latency bottlenecks. If you have experience with technologies like eBPF or XDP, make sure to include that as well.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial in a quantitative developer role.
How to prepare for a job interview at Venture Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with low-latency Java or C++ applications. Highlight specific projects where you've improved performance or resolved bottlenecks, as this will demonstrate your capability in a high-frequency trading environment.
✨Understand the Trading Stack
Familiarise yourself with the firm's trading stack and be ready to discuss how you can contribute to its improvement. Understanding concepts like market data distribution and exchange API connectivity will show that you're serious about the role.
✨Demonstrate Problem-Solving Skills
Prepare examples of difficult problems you've solved in previous roles, especially those related to latency and throughput. This will illustrate your ability to think critically and adapt quickly, which is crucial in a fast-paced trading environment.
✨Engage with the Team
Since collaboration with traders and researchers is key, express your enthusiasm for teamwork. Share experiences where you've worked closely with others to achieve a common goal, as this will highlight your interpersonal skills and adaptability.
