At a Glance
- Tasks: Analyse network traffic and improve trading performance in competitive environments.
- Company: Leading global quantitative trading group known for ultra-low-latency engineering.
- 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 employer: Jobs via eFinancialCareers
Join a pioneering global quantitative trading group in London or Zurich, where innovation meets excellence in ultra-low-latency engineering. As an Infrastructure Engineer, you'll be part of a dynamic work culture that fosters collaboration and continuous learning, with ample opportunities for professional growth and development. Enjoy the unique advantage of working in a fast-paced environment that directly influences trading performance on a global scale, while being supported by a team of experts dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Engineer - Selby Jennings
✨Tip Number 1
Network, network, network! Get out there and connect with professionals in the trading systems space. Attend meetups, webinars, or industry conferences to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to market microstructure or performance engineering. This could include any personal projects, contributions to open-source, or even detailed analyses of trading strategies you've worked on.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each company. Research their trading strategies and technologies, and during interviews, discuss how your experience with Python and Linux can directly benefit their operations.
✨Tip Number 4
Apply through our website! We’ve got a range of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Infrastructure Engineer - Selby Jennings
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in low-level systems engineering and performance optimisation. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python and network engineering!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading systems and how your background in market microstructure can contribute to our team. Let us know what excites you about the role!
Showcase Relevant Projects:If you've worked on projects that involved packet capture analysis or Linux performance tuning, make sure to mention them. We love seeing real-world examples of your work, especially if they relate to optimising trading performance!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
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. Familiarise yourself with TCP/IP, Ethernet, and packet capture analysis. Being able to discuss these topics confidently will show that you're serious about the role.
✨Show Off Your Problem-Solving Skills
Prepare to discuss specific examples where you've optimised performance or solved complex issues in low-level systems engineering. Think about times you've reverse-engineered behaviours or improved execution quality, as these experiences will resonate well with the interviewers.
✨Get Hands-On with Python
Since strong Python skills are essential, be ready to demonstrate your ability to analyse data and build tooling. You might even want to prepare a small project or script that showcases your time-series analysis capabilities, as this could set you apart from other candidates.
✨Collaborate and Communicate
This role involves working closely with quant, trading, and engineering teams. Be prepared to discuss how you've successfully collaborated in the past. Highlight your communication skills and how you translate technical findings into actionable insights that impact PnL.
