At a Glance
- Tasks: Design and build high-performance Java services for real-time trading applications.
- Company: Dynamic high-frequency trading firm based in London.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Other info: Collaborative environment with mentorship from experienced professionals.
- Why this job: Join a team where your work directly impacts trading performance and technology innovation.
- Qualifications: Strong Java skills and knowledge of computer science fundamentals required.
The predicted salary is between 43200 - 72000 € per year.
My client are a high frequency trading firm based in London.
They\'re looking for a back-end Java engineer who will contribute to both sides of the stack.
This isn\'t a typical full-stack role, your time isn\'t split between backend and frontend work.
They have a frontend team in place. You will not be designing UI.
Instead, you will build high-performance Java services that power the trading UI. So yes you need frontend awareness, but your focus is on backend engineering that makes the UI fast and reliable.
What you will do:
- Design and build Java services that feed real-time data to the frontend.
- Work with the UI team on transport choices, batching, back-pressure, and error handling.
- Improve end-to-end latency by looking across the stack.
What you\'ll bring:
- Strong knowledge of computer science fundamentals (data structures, algorithms).
- Java engineering experience in trading, betting, gaming, or streaming.
- Hands-on work with real-time or data-heavy systems.
- Comfortable across server and browser.
Not essential (but nice-to-have):
- Experience with frontend languages.
- Experience with trading systems.
Interview process:
- Microsoft Teams: 45min - 1hr chat.
- On-site interview: Technical interview and coding test.
- Meeting with CTO.
Why join?
The hiring manager started as a grad 10 years ago. Here\'s how he describes it:
\"We have fundamental control about basically every part of the entire technology stack, from widgets in the UI all the way down to kernel level/bypass drivers. We\'re doing things with FPGAs. There\'s a place for every level of interest. We\'ve got some things in compiler, compiler-adjacent technologies as well. It energises people who are interested in applying theoretical computer science to practical software engineering tasks.\"
To learn more, apply or email me (lewis@stateratalent.com).
Java Software Engineer - High Frequency Trading in Luton employer: Statera Talent
As a high frequency trading firm located in the heart of London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With a strong emphasis on professional growth, our team members have the opportunity to work on cutting-edge technology and contribute to impactful projects, all while enjoying a collaborative environment that values creativity and technical expertise. Join us to be part of a forward-thinking company where your contributions directly influence the success of our trading operations.
StudySmarter Expert Advice🤫
We think this is how you could land Java Software Engineer - High Frequency Trading in Luton
✨Tip Number 1
Get familiar with the company and its tech stack. Research their trading systems and understand how Java fits into their operations. This will help you speak their language during interviews and show that you're genuinely interested.
✨Tip Number 2
Practice coding challenges related to real-time data processing. Brush up on your algorithms and data structures, as these are crucial for backend engineering roles. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 3
Prepare for technical interviews by simulating the experience. Set up mock interviews with friends or use online services. Focus on explaining your thought process clearly, especially when tackling complex problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in high-frequency trading.
We think you need these skills to ace Java Software Engineer - High Frequency Trading in Luton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Java engineering experience, especially in trading or data-heavy systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for what we do.
Showcase Your Technical Skills:In your application, mention specific technologies and methodologies you’ve worked with. We’re looking for strong knowledge of computer science fundamentals, so don’t forget to highlight your expertise in data structures and algorithms!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Statera Talent
✨Know Your Java Inside Out
Make sure you brush up on your Java skills, especially around high-performance services. Be ready to discuss your experience with real-time data processing and how you've tackled performance issues in the past.
✨Understand the Trading Domain
Familiarise yourself with the basics of trading systems and high-frequency trading concepts. This will help you speak confidently about how your backend work can impact the trading UI and overall system performance.
✨Prepare for Technical Challenges
Expect technical questions and coding tests during the interview. Practice common algorithms and data structures, and be prepared to solve problems on the spot. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Communicate with Clarity
During the interview, articulate your thought process clearly. When discussing your past projects, highlight how you collaborated with frontend teams and addressed challenges related to latency and data handling.
