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- Tasks: Design and build low-latency trading services using Python and Rust.
- Company: Exclusive partner of a leading institutional trading firm.
- Benefits: Up to £140,000 base salary, ~20% bonus, equity, and hybrid work.
- Why this job: Join a senior team and impact live markets with cutting-edge technology.
- Qualifications: Strong Python skills and experience in high-performance systems.
- Other info: Dynamic environment with real capital and exciting challenges.
The predicted salary is between 84000 - 196000 £ per year.
We are an exclusive hiring partner for an institutional trading firm building the next generation of its core execution and order-lifecycle infrastructure. This team owns systems that sit directly on the critical path of live markets. The mandate is to design, build, and operate low-latency, high-throughput trading services under strict performance and reliability constraints.
You’ll be part of a small, senior-leaning engineering group responsible for:
- Core Order Management Systems (OMS)
- Exchange gateway connectivity
- Market data ingestion
- Real-time risk
- Internal orchestration and tooling that supports live trading
These systems handle real capital, real counterparties, and real-time failure scenarios.
Technologies:
- Python (~80%) – core services, orchestration layers, tooling, and system glue
- Rust (~20%) – latency-critical paths and performance-sensitive components
Heavy use of: Concurrency
Python Engineer employer: Realm
Contact Detail:
Realm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading systems or low-latency applications. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on concurrency and performance optimisation in Python. Practice coding challenges that focus on real-time systems to get yourself ready for those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of standing out in the crowd.
We think you need these skills to ace Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Python Engineer role. Highlight your experience with Python and any relevant projects that showcase your skills in low-latency systems and trading platforms. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about institutional trading and how your background aligns with our needs. We love seeing enthusiasm and a clear understanding of the role.
Showcase Relevant Skills: Don’t forget to highlight your technical skills, especially in Python and Rust. If you've worked on concurrency or real-time systems, make sure to mention those experiences. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Realm
✨Know Your Python Inside Out
Make sure you’re well-versed in Python, especially its concurrency features. Brush up on how to handle asynchronous programming and multi-threading, as these are crucial for the low-latency systems you'll be working with.
✨Understand the Trading Landscape
Familiarise yourself with institutional trading concepts and the importance of order management systems. Being able to discuss market data ingestion and real-time risk will show that you understand the critical nature of the systems you'll be developing.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled performance issues or reliability constraints. Use specific examples to demonstrate your ability to design and build robust systems under pressure.
✨Ask Insightful Questions
Come prepared with questions that show your interest in their technology stack and challenges. Inquire about their use of Rust for latency-critical paths and how they ensure system reliability during live trading.
