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- Tasks: Design and build robust Python systems for data and trading infrastructure.
- Company: Leading quantitative investment fund with a focus on innovation.
- Benefits: Competitive salary, bonuses linked to success, and hybrid working model.
- Why this job: Join a high-calibre team and make a real impact in finance.
- Qualifications: 4+ years Python experience, strong computer science fundamentals, and passion for clean code.
- Other info: Dynamic environment with opportunities for technical growth and collaboration.
The predicted salary is between 100000 - 140000 £ per year.
Are you a world-class Python engineer ready to push your technical limits in one of the most intellectually rigorous environments in finance? Our client is a leading quantitative investment fund—combining deep research, cutting-edge data science, and sophisticated trading systems to deliver exceptional long-term returns. They’re expanding their core engineering team and are seeking a Python Software Engineer to help design and build the next generation of research, data, and trading infrastructure.
The Opportunity
You’ll work at the intersection of software engineering, data, and quantitative research, partnering directly with researchers and portfolio managers to create scalable systems that power high-performance trading and analytics. This isn’t a legacy maintenance role — it’s greenfield development in a fast-moving, research-driven environment where precision and performance matter.
What You’ll Do
- Design and implement robust Python systems for data ingestion, modelling, and strategy research.
- Optimize and scale quantitative pipelines for speed, transparency, and reliability.
- Collaborate with world-class quants and data scientists to bring research ideas to production.
- Contribute to architectural design and best practices for distributed systems and cloud-based compute.
What We’re Looking For
- 4+ years of professional experience as a Python developer, ideally within high-performance, data-heavy environments.
- Strong grounding in computer science fundamentals — algorithms, data structures, and system design.
- Experience with NumPy, Pandas, PySpark, or similar data frameworks.
- Exposure to financial data, trading systems, or quantitative research is highly advantageous (though not required).
- Passion for clean, performant code and continuous technical improvement.
Why Apply
- Join a high-calibre team of engineers, quants, and researchers from leading tech and academic backgrounds.
- Work on complex, high-impact systems where your code directly supports real-world performance.
- Competitive compensation + meaningful bonuses linked to fund success.
- Hybrid working model and exceptional technical culture — no red tape, no bureaucracy, just results.
Python Software Engineer – Quantitative Hedge Fund : £120-180k in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Engineer – Quantitative Hedge Fund : £120-180k in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the hedge fund or similar firms on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data science or trading systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank. We want you to feel confident and ready to tackle any problem thrown your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Python Software Engineer – Quantitative Hedge Fund : £120-180k 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 high-performance, data-heavy environments. Don’t just list your skills; give us examples of projects where you’ve really pushed the limits!
Talk About Your Experience: If you've worked with data frameworks like NumPy or Pandas, let us know! Share specific instances where you've optimised systems or contributed to architectural design. This helps us understand how you can fit into our team and tackle complex challenges.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Avoid fluff and focus on what makes you a great fit for this role.
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 don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Hunter Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in areas like NumPy and Pandas. Be prepared to discuss your past projects and how you've used these frameworks to solve complex problems. Practising coding challenges can also help you demonstrate your technical prowess.
✨Understand the Financial Context
Even if you don't have direct experience in finance, it's crucial to understand the basics of quantitative research and trading systems. Familiarise yourself with key concepts and terminology so you can engage in meaningful discussions with quants and portfolio managers during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to tackle real-world scenarios or case studies that may come up during the interview. Think about how you would design scalable systems or optimise data pipelines. This will not only showcase your technical skills but also your ability to think critically under pressure.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's engineering practices, team dynamics, and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values and work style.
