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- Tasks: Join a new team to design and optimize low-latency systems for real-time market data.
- Company: Work with a leading hedge fund known for cutting-edge technology and high performance.
- Benefits: Engage in a fast-paced environment with opportunities to tackle challenging engineering problems.
- Why this job: Be at the forefront of technology in quantitative trading while collaborating with experts.
- Qualifications: Must have extensive C++ experience and knowledge of low-latency systems and trading protocols.
- Other info: No international relocation available for this role.
The predicted salary is between 43200 - 72000 £ per year.
Job Description My client, a leading and globally renowned hedge fund, is seeking a Market Data Engineer to join a brand new team and help design & optimise high-performance, low-latency systems that support real-time market data processing. This is a fantastic opportunity to work on cutting-edge technology in a fast-paced, high-performance environment. Key Responsibilities: Design and implement real-time, low-latency systems using modern C++. Develop and optimise systems for market data processing and distribution globally. Collaborate with trading teams and infrastructure experts to enhance performance and reliability. Key Requirements: Extensive experience with C++, including modern features (C++17/20). Proven experience in low-latency systems and real-time market data. Strong understanding of trading venue protocols, Linux internals, and network optimisation. This role offers the chance to work on some of the most challenging engineering problems in quantitative trading. My client is unable to offer international relocation for this role. …
Market Data Engineer (C++) - Low Latency Systems employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Engineer (C++) - Low Latency Systems
✨Tip Number 1
Make sure to showcase your experience with C++ in your conversations. Highlight specific projects where you implemented modern features of C++17/20, as this will demonstrate your technical expertise.
✨Tip Number 2
Familiarize yourself with low-latency systems and real-time market data processing. Be prepared to discuss how you've optimized systems in the past and the impact it had on performance.
✨Tip Number 3
Understand trading venue protocols and Linux internals thoroughly. This knowledge will be crucial during discussions with the team and can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the quantitative trading space. Engaging with others in the industry can provide insights and potentially lead to referrals that could help you land the job.
We think you need these skills to ace Market Data Engineer (C++) - Low Latency Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience with C++ and any relevant projects involving low-latency systems. Use specific examples that demonstrate your skills in real-time market data processing.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to work on cutting-edge technology. Mention your understanding of trading venue protocols and how your background aligns with the company's needs.
Showcase Relevant Projects: If you have worked on projects related to low-latency systems or real-time data processing, be sure to include them in your application. Describe your role and the technologies you used, particularly focusing on modern C++ features.
Highlight Collaboration Skills: Since the role involves collaboration with trading teams and infrastructure experts, emphasize your teamwork and communication skills in your application. Provide examples of how you've successfully worked in a team environment to solve complex problems.
How to prepare for a job interview at Stanford Black Limited
✨Showcase Your C++ Expertise
Be prepared to discuss your experience with modern C++ features, especially C++17 and C++20. Bring examples of projects where you've implemented these features effectively, as this will demonstrate your technical proficiency.
✨Understand Low-Latency Systems
Familiarize yourself with the principles of low-latency system design. Be ready to explain how you have optimized systems for real-time data processing in previous roles, and discuss any specific techniques or tools you used.
✨Discuss Trading Venue Protocols
Make sure you have a solid understanding of trading venue protocols. Prepare to talk about how these protocols impact market data processing and how you've worked with them in the past.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams, especially with trading teams and infrastructure experts. Be ready to share examples of how effective collaboration has led to improved system performance and reliability.
