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- Tasks: Analyse network protocols and enhance trading operations in a fast-paced environment.
- Company: Join a leading hedge fund with a focus on high-performance trading technology.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Why this job: Be part of a team solving complex challenges in low-latency trading systems.
- Qualifications: Degree in Computer Science or Engineering and 3+ years in network analysis.
- Other info: Dynamic work culture with a focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Our client, a leading hedge fund, is seeking a talented Infrastructure Engineer to join their high‑performance trading technology team. They are looking for someone with experience in network analysis or financial markets and a solid understanding of market microstructure and low‑latency trading environments. In this role, you will analyse network and exchange protocols, automate performance metrics, and lead experiments to enhance trading operations on latency‑sensitive exchanges. This is your chance to become part of a team that thrives on solving complex challenges and building the systems that drive trading at scale.
Your background will ideally include a degree in Computer Science, Engineering, or a related field, along with 3+ years of experience in network analysis or financial markets. You will bring strong skills in Python, time‑series analysis, and network protocols, paired with familiarity in market microstructure and low‑latency trading environments. Experience working with market exchanges, FPGA‑accelerated trading systems, and real‑time monitoring tools will help you thrive in this role.
Key Responsibilities- Analyse network and exchange protocols to identify inefficiencies and improve communication performance
- Automate metric collection and build visualisation tools for real‑time performance tracking
- Design and conduct experiments to optimise trading infrastructure and reduce latency
- Collaborate with internal teams and external exchanges to align strategies and share insights
- Degree in Computer Science, Engineering, or related field.
- 3+ years in network analysis or financial markets.
- Strong skills in Python, time series analysis, and network protocols.
- Familiarity with market microstructure and low‑latency trading.
- Experience with market exchanges, FPGA‑based trading systems, and real‑time metrics.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Infrastructure Engineer - Low Latency Trading Systems - Selby Jennings employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Infrastructure Engineer - Low Latency Trading Systems - Selby Jennings
✨Network Your Way In
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just chat with people on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your skills in Python, network analysis, and low-latency trading systems. We love seeing real examples of your work, so make sure to have something ready to share during interviews.
✨Prepare for Technical Questions
Brush up on your technical knowledge before the interview. Expect questions about network protocols and market microstructure. We recommend practising with mock interviews or coding challenges to get comfortable with the types of questions you might face.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals to join our team, so don’t hesitate!
We think you need these skills to ace Infrastructure Engineer - Low Latency Trading Systems - Selby Jennings
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Infrastructure Engineer. Highlight your experience in network analysis and low-latency trading systems, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about low-latency trading and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in Python and network protocols. If you've automated performance metrics or designed visualisation tools, let us know! We’re keen to see how you can contribute to optimising our trading infrastructure.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Stuff
Make sure you brush up on your knowledge of network analysis and low-latency trading systems. Be ready to discuss specific protocols and performance metrics you've worked with, as well as any relevant projects that showcase your skills in Python and time-series analysis.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex challenges you've faced in previous roles and how you tackled them. Think of examples where you optimised trading infrastructure or improved communication performance, as this will demonstrate your ability to think critically and innovate.
✨Familiarise Yourself with Market Microstructure
Since the role involves working closely with market exchanges, it’s crucial to understand market microstructure. Brush up on how different exchanges operate and be prepared to discuss how this knowledge can help enhance trading operations.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, their approach to reducing latency, and how they collaborate with external exchanges. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
