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- Tasks: Develop and maintain core trading technology using Python for live trading systems.
- Company: High-performing quantitative trading firm in the UK with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Tackle technical challenges and make an impact in the fast-paced world of trading.
- Qualifications: Extensive Python experience and a relevant degree in a related field.
- Other info: Ideal for engineers who thrive under pressure and love real-time software development.
The predicted salary is between 43200 - 72000 £ per year.
A high-performing quantitative trading firm in the United Kingdom is seeking a Python Software Engineer to develop and maintain their core trading technology. You will design high-quality systems for live trading and research, focusing on performance and correctness.
Ideal candidates will have extensive experience in Python and data structures, along with a relevant degree. This role involves real-time software development in a demanding environment, making it perfect for engineers who thrive on technical challenges.
Python Systems Engineer - Low-Latency Trading in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Systems Engineer - Low-Latency Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading tech space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your Python projects, especially those related to low-latency systems or trading algorithms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on data structures and algorithms. Practice coding challenges on platforms like LeetCode or HackerRank to get into the right mindset for those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your interest in joining our team.
We think you need these skills to ace Python Systems Engineer - Low-Latency Trading in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world scenarios, especially in low-latency environments. Don't hold back on those technical challenges you've tackled!
Tailor Your CV and Cover Letter: When applying, customise your CV and cover letter to reflect the job description. We love seeing candidates who take the time to align their skills and experiences with what we're looking for. It shows us you're genuinely interested!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications. Avoid jargon unless it's relevant to the role – we want to understand your expertise without getting lost in the details.
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’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Hunter Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss data structures, algorithms, and any relevant libraries you've used in past projects. Practising coding challenges can help you demonstrate your problem-solving abilities.
✨Understand Low-Latency Trading
Familiarise yourself with the principles of low-latency trading and how it impacts system design. Be ready to talk about performance optimisation techniques and how you would approach building systems that require real-time processing.
✨Showcase Your Problem-Solving Skills
During the interview, expect technical questions that test your analytical thinking. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when discussing past experiences related to high-pressure environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading technology and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Think about what challenges they face and how you could contribute.
