Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, dynamic work environment, and opportunities for growth.
- Other info: Collaborate with top-tier researchers in a fast-paced, research-driven setting.
- Why this job: Work at the forefront of finance technology and make a real impact.
- Qualifications: 4+ years Python experience, strong computer science fundamentals, and passion for clean code.
The predicted salary is between 60000 - 80000 £ 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‑cal
Python Software Engineer – Quantitative Hedge Fund : 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 :
✨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 beyond your CV.
✨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 and get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to 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 that align with the role.
We think you need these skills to ace Python Software Engineer – Quantitative Hedge Fund :
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 real-world scenarios, especially in data-heavy environments. Don't hold back on showcasing any projects or systems you've built!
Talk About Teamwork: Since you'll be collaborating with quants and data scientists, it's important to mention any teamwork experiences. Share examples of how you've worked with others to bring ideas to life, especially in fast-paced settings. We love a good team player!
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point while still showing off your personality.
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, it shows you're keen on joining 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 focusing on libraries like NumPy and Pandas. Be prepared to discuss your past projects and how you've used these tools to solve complex problems.
✨Understand the Financial Landscape
Even if you don't have direct experience in finance, it’s crucial to familiarise yourself with basic financial concepts and trading systems. This will help you communicate effectively with quants and portfolio managers during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to tackle technical challenges during the interview. Practice coding problems that involve algorithms and data structures, as they may ask you to demonstrate your thought process and approach to problem-solving.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their tech stack, team dynamics, and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.