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For Companies At a Glance
- Tasks: Design and build cutting-edge Python systems for data and trading infrastructure.
- Company: Leading quantitative investment fund with a focus on innovation.
- Benefits: Competitive salary, bonuses, hybrid work model, and a dynamic technical culture.
- Other info: Join a collaborative team with opportunities for growth and no bureaucracy.
- Why this job: Make a real impact in high-performance trading and analytics with top-tier professionals.
- Qualifications: Degree in Computer Science and 1-4 years of Python development experience.
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.
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
- 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.
- 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 : £70-100k in City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to data science or quantitative research. 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 practicing coding challenges and system design problems. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with Python and any relevant projects, and let us know why you’re excited about joining our team.
We think you need these skills to ace Python Software Engineer - Quantitative Hedge Fund : £70-100k in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your Python experience 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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in computer science and Python development makes you a great fit. Let us know what excites you about working in a quantitative hedge fund.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in Python, data frameworks, or quantitative research, make sure to include them. We love seeing practical applications of your knowledge, so don’t hold back!
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 get the attention you deserve. 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, especially around data structures and algorithms. Be ready to discuss your experience with frameworks like NumPy and Pandas, as they’re crucial for the role.
✨Understand the Financial Landscape
Familiarise yourself with basic financial concepts and trading systems. Even if you don’t have direct experience, showing that you’ve done your homework will impress the interviewers and demonstrate your enthusiasm for the field.
✨Prepare for Technical Questions
Expect to face technical questions that test your problem-solving abilities. Practice coding challenges and be prepared to explain your thought process clearly. This is your chance to showcase your clean, performant code!
✨Showcase Your Collaborative Spirit
Since the role involves working closely with researchers and quants, be ready to discuss past experiences where you collaborated effectively. Highlight how you contributed to team projects and how you can bring that teamwork into this new role.