At a Glance
- Tasks: Develop and enhance Python-based trading platforms and models for real-time decision-making.
- Company: Join a leading global hedge fund where tech meets investment strategy.
- Benefits: Up to £200,000 salary, bonuses, and full benefits package.
- Other info: Collaborative environment with direct exposure to portfolio managers.
- Why this job: Make a real impact on trading outcomes in a high-calibre team.
- Qualifications: Degree in relevant field and strong Python experience in finance.
A leading global hedge fund where technology and quantitative research are at the heart of investment strategy.
As a Python Quantitative Developer, you'll operate at the intersection of engineering and trading — partnering directly with Portfolio Managers and Quants to build models, tools, and infrastructure that drive real-time decisions and P&L. This is a high-impact, front-office role with direct visibility into trading performance and strategy development.
What You'll Do
- Develop and enhance Python-based research and trading platforms
- Implement, optimise, and productionise trading models and signals alongside Quants
- Build robust data pipelines, backtesting frameworks, and analytics tools
- Improve performance, scalability, and reliability of live trading systems
Why This Role Stands Out
- Front-Office Exposure – Work directly with PMs and Quants on live strategies
- Real P&L Impact – Your work directly influences trading outcomes
- Elite Team – Small, collaborative, high-calibre environment
- Top-Tier Compensation – Market-leading salary with strong performance bonuses
What You Bring
- Degree in Computer Science, Mathematics, Engineering, or a related field
- Strong Python experience in a quantitative, trading, or data-intensive environment
- Solid understanding of financial markets and quantitative concepts (time series, statistics, risk)
- Experience working closely with Quants or investment teams in a front-office setting
- Ability to translate research into scalable, production-ready systems
If you're a Quant Developer looking for a high-impact front-office role at a world-class hedge fund, we'd love to hear from you.
Apply now or reach out directly for more information: obloom@hunterbond.com
Quantitative Developer – Up to £200,000 + Bonus + Benefits in England employer: LinkedIn
Join a prestigious global hedge fund in London, where innovation and collaboration drive success. As a Python Quantitative Developer, you'll enjoy a dynamic work culture that fosters professional growth and offers direct exposure to trading strategies, ensuring your contributions have a tangible impact on performance. With top-tier compensation and a supportive environment, this role is perfect for those seeking meaningful and rewarding employment in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer – Up to £200,000 + Bonus + Benefits in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to quantitative finance. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and behavioural questions. Practice coding challenges and be ready to discuss your past experiences with Quants and PMs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our elite team.
We think you need these skills to ace Quantitative Developer – Up to £200,000 + Bonus + Benefits in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Python Quantitative Developer. Highlight your experience with Python, quantitative research, and any relevant projects that showcase your skills in building trading models or data pipelines.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative development and how your background aligns with the hedge fund's goals. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Skills:Don’t forget to emphasise your technical skills in your application. Mention any relevant programming languages, tools, or frameworks you’ve used, especially those related to financial markets and trading systems. This will help us see your fit for the role.
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 from us!
How to prepare for a job interview at LinkedIn
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific projects where you've implemented Python in a quantitative or trading context. They’ll likely want to see how you can translate complex concepts into practical applications.
✨Understand Financial Markets
Familiarise yourself with key financial concepts and market dynamics. Being able to discuss time series analysis, risk management, and statistical methods will show that you’re not just a tech whiz but also understand the trading environment you'll be working in.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges related to data pipelines and backtesting frameworks. This will help you demonstrate your ability to build scalable, production-ready systems.
✨Showcase Collaboration Skills
Since this role involves working closely with Portfolio Managers and Quants, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully partnered with others to achieve common goals, especially in high-pressure situations.
