At a Glance
- Tasks: Design and build low-latency trading services using Python and Rust.
- Company: Leading trading firm in London with a focus on innovation.
- Benefits: Competitive salary up to £140,000, bonuses, equity options, and hybrid work.
- Why this job: Join a fast-paced environment and make an impact in the trading industry.
- Qualifications: Experience in concurrency, multithreading, and Python programming.
- Other info: Opportunity for career growth in a dynamic team.
The predicted salary is between 84000 - 196000 £ per year.
A leading trading firm in London is seeking a Python Engineer for its core trading infrastructure team. This role involves designing and building low-latency trading services, with a focus on Python and Rust. Ideal candidates should have experience in concurrency and multithreading and be comfortable working in a fast-paced environment.
The position offers a competitive salary of up to £140,000, with a bonus and equity options available. Hybrid work is possible, requiring 4 days on-site.
Low-Latency Python Engineer – Core Trading Platform (Hybrid) employer: Realm
Contact Detail:
Realm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Latency Python Engineer – Core Trading Platform (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech scene on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your Python and Rust prowess, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical challenges! Brush up on concurrency and multithreading concepts. Practising coding problems related to low-latency systems can give you an edge in interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a better shot at landing that dream role.
We think you need these skills to ace Low-Latency Python Engineer – Core Trading Platform (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Rust, especially in low-latency environments. We want to see how your skills align with the core trading infrastructure role!
Showcase Your Projects: Include any relevant projects that demonstrate your expertise in concurrency and multithreading. We love seeing practical examples of your work, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about trading technology and how you can contribute to our team. Keep it engaging and personal.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Realm
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around concurrency and multithreading. Be ready to discuss how you've implemented these concepts in past projects, as they'll likely want to see your practical experience.
✨Understand Low-Latency Systems
Familiarise yourself with the principles of low-latency trading systems. Be prepared to explain how you would optimise performance and reduce latency in a trading environment. This shows that you understand the specific challenges of the role.
✨Showcase Your Problem-Solving Skills
Expect technical questions that test your problem-solving abilities. Practice coding challenges related to algorithms and data structures, as well as scenarios that require quick thinking under pressure. This will demonstrate your ability to thrive in a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading platform and their tech stack. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. It’s a two-way street!