Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build innovative systems for data and trading infrastructure.
- Company: Leading quantitative investment fund with a collaborative culture.
- Benefits: Competitive compensation linked to fund success and hybrid working model.
- Why this job: Join a dynamic team and contribute to high-performance solutions in finance.
- Qualifications: 4+ years of experience in Python and strong collaboration skills.
- Other info: Exciting opportunity for career growth in a cutting-edge environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading quantitative investment fund is seeking a Python Software Engineer to join their engineering team in London. This role focuses on designing and building cutting-edge systems for data and trading infrastructure.
With a requirement for 4+ years of experience, candidates will work with data science and quantitative research, contributing to high-performance solutions in a clean and collaborative culture.
The position offers competitive compensation linked to fund success and features a hybrid working model.
Python Engineer – Quant Trading Infrastructure (Hybrid) employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer – Quant Trading Infrastructure (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the quant trading space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data and trading infrastructure. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We recommend practicing coding challenges on platforms like LeetCode or HackerRank to sharpen your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Engineer – Quant Trading Infrastructure (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any interesting projects related to data science or trading infrastructure, make sure to mention them. We love seeing practical examples of your work that demonstrate your problem-solving skills.
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’s super easy!
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 your experience with Python in detail, especially in relation to building systems for data and trading infrastructure. Practise coding challenges that focus on performance optimisation and clean code.
✨Understand Quantitative Trading Concepts
Familiarise yourself with the basics of quantitative trading and data science. Being able to speak knowledgeably about how your work can impact trading strategies will impress the interviewers. Consider reviewing recent trends in quant trading and how technology plays a role in it.
✨Showcase Your Collaborative Spirit
Since the role emphasises a collaborative culture, be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to group projects or helped resolve conflicts, as this will demonstrate your fit within their team-oriented environment.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the technologies they use, the challenges the team is currently facing, or how success is measured in the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
