At a Glance
- Tasks: Analyse network traffic and improve trading performance in competitive environments.
- Company: Leading global quantitative trading group pushing engineering boundaries.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and performance optimisation.
- Why this job: Shape trading strategies and make a real impact on global exchanges.
- Qualifications: 5+ years in systems engineering with strong Python and networking skills.
The predicted salary is between 80000 - 100000 € per year.
Location: London / Zurich
We are partnered with a leading global quantitative trading group known for pushing the boundaries of ultra‑low‑latency engineering. They are looking for a Trading Systems Engineer specialising in market microstructure, exchange connectivity and network‑level optimisation to drive performance improvements across some of the most competitive trading environments in the world.
Your work will directly shape how strategies interact with global exchanges, impacting latency, fill rates and trading performance. If you enjoy reverse‑engineering exchange behaviour, analysing packet captures at nanosecond resolution, tuning Linux until it screams, or uncovering microstructure patterns that move PnL - you will thrive here.
Key Responsibilities- Analyse network traffic, exchange protocol behaviour and wire‑level message flows to uncover inefficiencies
- Reverse‑engineer market‑microstructure features and exchange matching behaviour to improve execution quality
- Research exchange connectivity, attend technical briefings and integrate insights into trading operations
- Design and run controlled experiments to optimise fill rates, order routing and execution behaviour
- Collaborate closely with quant, trading and engineering teams to translate findings into measurable PnL impact
- Build tooling, automation and performance‑monitoring systems over high‑volume, high‑resolution datasets
- 5+ years in low‑level systems engineering, performance engineering, network engineering, or execution‑side trading infrastructure
- Strong knowledge of Python for analysis and tooling, including time‑series analysis
- Solid understanding of TCP/IP, Ethernet, packet capture analysis, protocol debugging
- Experience with Linux performance tuning, kernel‑bypass networking or lock‑free concurrency is highly desirable
- Exposure to market microstructure, direct market access, FIX/ITCH/OUCH, or exchange protocols is a strong advantage
Infrastructure Engineer - Selby Jennings in London employer: Jobs via eFinancialCareers
Join a pioneering global quantitative trading group in London or Zurich, where innovation meets performance. As an Infrastructure Engineer, you'll be immersed in a dynamic work culture that values collaboration and continuous learning, offering you the chance to enhance your skills while directly impacting trading strategies and outcomes. With a focus on employee growth and cutting-edge technology, this is an exceptional opportunity for those seeking meaningful and rewarding employment in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Engineer - Selby Jennings in London
✨Tip Number 1
Network, network, network! Get in touch with folks in the trading and engineering space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to low-level systems engineering or performance optimisation. This is your chance to demonstrate your expertise in Python, Linux tuning, and packet analysis. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each company. Research their trading strategies and technologies, and mention how your experience with market microstructure or exchange protocols can directly benefit them. Personalisation goes a long way in making you stand out.
✨Tip Number 4
Finally, don’t forget to check out our website for job openings! We’re always looking for talented individuals like you. Applying through us not only gives you a better chance but also connects you with a community that understands your skills and aspirations.
We think you need these skills to ace Infrastructure Engineer - Selby Jennings in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Trading Systems Engineer. Highlight your experience with low-level systems engineering and any relevant projects that showcase your skills in network traffic analysis and performance optimisation.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve successfully improved execution quality or optimised fill rates. This will help us see how you can make an impact.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about trading systems and how your background aligns with our needs. Be sure to mention any experience with market microstructure or exchange protocols.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Stuff
Make sure you brush up on your knowledge of market microstructure and exchange protocols. Be ready to discuss specific examples from your experience, especially around TCP/IP and packet capture analysis. This will show that you’re not just familiar with the concepts but can apply them in real-world scenarios.
✨Show Off Your Problem-Solving Skills
Prepare to talk about how you've tackled performance issues in the past. Think of a few examples where you’ve reverse-engineered systems or optimised execution behaviour. Highlight the impact your solutions had on fill rates or latency – numbers speak volumes!
✨Get Technical
Since this role involves a lot of technical work, be ready to dive deep into your technical skills. Brush up on your Python coding skills, especially for time-series analysis. You might even want to prepare a small coding challenge or two to demonstrate your proficiency during the interview.
✨Collaborate and Communicate
This position requires close collaboration with quant, trading, and engineering teams. Be prepared to discuss how you’ve worked in teams before and how you communicate complex ideas effectively. Show that you can translate technical findings into actionable insights that impact PnL.
