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- 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 Python experience and a passion for data science.
- Other info: Exciting opportunity for career growth in a cutting-edge industry.
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) in London 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) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the quant trading 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 data and trading infrastructure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get into the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates. Plus, we love seeing applications from enthusiastic folks like you!
We think you need these skills to ace Python Engineer – Quant Trading Infrastructure (Hybrid) in London
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 concise but impactful!
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 algorithms and data structures, as these are likely to come up.
✨Understand Quantitative Trading Concepts
Familiarise yourself with the basics of quantitative trading and investment strategies. Being able to speak knowledgeably about how your work can impact trading performance will impress the interviewers. Consider reading up on recent trends in quant trading to show your enthusiasm for the field.
✨Showcase Your Collaborative Spirit
Since the role emphasises a clean and 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
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful queries about the company's technology stack, their approach to data science, or how they measure success in their projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
