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- Tasks: Design and build cutting-edge Python systems for data and trading infrastructure.
- Company: Leading quantitative investment fund with a focus on innovation and performance.
- Benefits: Competitive salary, meaningful bonuses, hybrid working model, and a vibrant technical culture.
- Other info: Work on complex systems that directly influence real-world trading performance.
- Why this job: Join a high-calibre team and make a real impact in a fast-paced environment.
- Qualifications: 1-4 years of Python development experience and strong computer science fundamentals.
The predicted salary is between 70000 - 100000 £ per year.
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 Junior Level (1-4 years experience) Python Software Engineer to help design and build the next generation of research, data, and trading infrastructure.
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.
- Design and implement robust Python systems for data ingestion, modelling, and strategy research.
- Collaborate with world-class quants and data scientists to bring research ideas to production.
Requirements:
- Computer Science degree from a top university.
- ~1-4 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.
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 : £70-100k 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 : £70-100k in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at quantitative hedge funds. Use platforms like LinkedIn to connect and engage with them. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a GitHub profile 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 all know that nailing the technical part is crucial, especially in a fast-paced environment like this one!
✨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 Software Engineer - Quantitative Hedge Fund : £70-100k in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with Python and any relevant projects you've worked on, especially those involving data-heavy environments. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include a section for personal or academic projects that demonstrate your coding skills and understanding of algorithms and data structures. If you've worked with NumPy, Pandas, or similar frameworks, let us know how you used them in your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're excited about this role and how your background makes you a great fit. We love seeing genuine enthusiasm for the work we do at StudySmarter and the impact it has on trading systems.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
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 around data structures and algorithms. Be prepared to discuss your experience with frameworks like NumPy and Pandas, as these will likely come up in technical questions.
✨Understand the Financial Landscape
Even if you're not a finance expert, having a basic understanding of financial data and trading systems can set you apart. Familiarise yourself with key concepts in quantitative research and how they relate to software engineering.
✨Showcase Your Problem-Solving Skills
Be ready to tackle coding challenges during the interview. Practice common algorithm problems and think aloud while solving them. This will demonstrate your thought process and ability to work under pressure.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.