At a Glance
- Tasks: Design and implement cutting-edge distributed systems for real-time market data.
- Company: Join a leading hedge fund with a focus on innovation and technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high-performance and scalable architectures.
- Why this job: Be part of a greenfield project that shapes the future of market data systems.
- Qualifications: Strong academic background in Computer Science and experience with distributed systems.
The predicted salary is between 60000 - 80000 £ per year.
We are partnering with a leading hedge fund to build out a greenfield Tick Data Platform, focused on designing a globally distributed, low-latency market data system from first principles.
Role
- Design and implement distributed, event-driven systems for real-time market data ingestion and dissemination.
- Develop horizontally scalable architectures with strong guarantees around reliability and data integrity.
- Work on in-memory processing, batching, and efficient serialization strategies to optimise performance.
- Collaborate with quant teams to deliver data abstractions and access patterns for research and execution.
Profile
- Strong academic background in Computer Science from a top-tier university, with demonstrated excellence through honours such as Dean's List and participation in high-level competitive programming (e.g. ICPC, Codeforces).
- Strong experience with distributed systems (e.g. partitioning, replication, consensus, fault tolerance).
- Hands-on exposure to real-time streaming architectures (Kafka, pub/sub systems, or custom event pipelines).
- Experience building high-throughput systems (networking, I/O, backpressure handling, load distribution).
- Language-agnostic - all backend languages considered (Python, Java, Scala, C++, Rust, etc.), with the team currently leaning towards Python.
Nice to have
- Experience with market data protocols or tick data processing pipelines.
For a confidential discussion, please apply.
Software Engineer - Distributed Market Data (FAANG welcome) in London employer: Selby Jennings
Join a leading hedge fund that champions innovation and excellence in the financial technology sector. With a strong focus on employee growth, we offer a collaborative work culture where your contributions directly impact the development of cutting-edge market data systems. Located in a vibrant financial hub, we provide unique opportunities for professional advancement and the chance to work alongside top-tier talent in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Distributed Market Data (FAANG welcome) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Selby Jennings or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Selby Jennings.
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We think you need these skills to ace Software Engineer - Distributed Market Data (FAANG welcome) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Selby Jennings.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Selby Jennings and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Selby Jennings
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Selby Jennings uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
