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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, meaningful bonuses, hybrid working model, and a dynamic culture.
- Why this job: Join a high-calibre team and make a real impact in finance technology.
- Qualifications: 4+ years Python experience, strong computer science fundamentals, and passion for clean code.
- Other info: Opportunity for growth in a fast-paced, research-driven environment.
The predicted salary is between 120000 - 180000 £ 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.
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Python Software Engineer – Quantitative Hedge Fund : £120-180k 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
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work at hedge funds or similar firms. Use platforms like LinkedIn to connect and engage with them—ask questions, share insights, and show your passion for Python and quantitative research.
✨Tip Number 2
Get your hands dirty with projects! Build a portfolio showcasing your Python skills, especially in data-heavy environments. Create projects that demonstrate your ability to design robust systems and optimise performance—this will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank. Being sharp on these topics will help you ace those tricky interview questions and show off your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Python engineers. By applying directly, you’ll have a better chance of getting noticed and landing that dream role in a cutting-edge environment.
We think you need these skills to ace Python Software Engineer – Quantitative Hedge Fund : £120-180k
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 hold back on showcasing any projects or systems you've built!
Talk About Your Problem-Solving Skills: In a fast-moving environment like ours, problem-solving is key. Share examples of how you've tackled complex challenges in your previous roles. We love seeing how you think and approach issues!
Keep It Clean and Concise: Your application should be clear and to the point. Avoid jargon and fluff—focus on what makes you a great fit for this role. We appreciate straightforward communication that gets right to the heart of your qualifications.
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 before the interview. Be ready to discuss your experience with frameworks like NumPy and Pandas, and be prepared to solve coding challenges on the spot. Practising common algorithms and data structures will also give you a solid edge.
✨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 conversations with quants and portfolio managers during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to demonstrate how you approach complex problems. Prepare examples from your past work where you designed scalable systems or optimised performance. This will show that you can think critically and contribute to the high-performance environment they’re looking for.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in their projects and culture. Ask about their current challenges in data ingestion or how they ensure code quality in a fast-paced environment. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
