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- Tasks: Design and implement low-latency infrastructure for top-tier trading firms.
- Company: Leading tech staffing agency in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the finance tech space.
- Qualifications: Experience in software engineering and a passion for high-performance systems.
- Other info: Work at the cutting edge of technology and finance with excellent career prospects.
The predicted salary is between 48000 - 84000 £ per year.
A leading tech staffing agency in the UK seeks engineers to design and implement low-latency infrastructure for top-tier quantitative trading firms. The role involves architecting systems where performance is measured in microseconds, navigating technical challenges at the intersection of finance and advanced technology. This is an exciting opportunity to work with cutting-edge technology and make significant contributions to trading strategies that operate on a vast scale.
Senior Software Engineer, Low-Latency Quant Trading in City of London employer: Dex
Contact Detail:
Dex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Low-Latency Quant Trading in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the quant trading space on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source software, make sure to highlight them. We want to see how you tackle low-latency challenges and your approach to system architecture.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios. It’s all about showing you can think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented engineers like you to join our team. It’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Software Engineer, Low-Latency Quant Trading in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with low-latency systems and quantitative trading. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about low-latency infrastructure and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In the world of quant trading, problem-solving is key. Use your application to highlight specific challenges you've tackled in previous roles, especially those that required quick thinking and innovative solutions. We’re all about that tech-savvy mindset!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at Dex
✨Know Your Tech Inside Out
Make sure you’re well-versed in low-latency systems and the specific technologies mentioned in the job description. Brush up on your knowledge of programming languages, frameworks, and tools relevant to quantitative trading. Being able to discuss your past projects and how they relate to the role will impress the interviewers.
✨Understand the Financial Landscape
Since this role sits at the intersection of finance and technology, it’s crucial to have a solid grasp of financial concepts and trading strategies. Familiarise yourself with how quantitative trading works and be prepared to discuss how your technical skills can enhance trading performance.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Practice solving problems under time constraints, as performance is key in this field. Use platforms like LeetCode or HackerRank to sharpen your skills and simulate the pressure of a real interview.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you approach complex problems, especially those related to system architecture and performance optimisation. Use examples from your previous work to illustrate your thought process and how you’ve successfully navigated similar challenges in the past.
