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- Tasks: Develop Python tools for credit trading and enhance trading lifecycle support.
- Company: Leading multi-strategy hedge fund with a high-performance culture.
- Benefits: Strong compensation, growth potential, and direct exposure to PMs.
- Why this job: Take ownership of key systems and make impactful contributions in a collaborative team.
- Qualifications: 3-7 years as a Quant Developer with strong Python skills and credit product knowledge.
- Other info: Dynamic environment with opportunities for professional growth and innovation.
The predicted salary is between 70000 - 90000 £ per year.
A leading multi-strategy hedge fund is looking to hire a Credit Strat Developer to join a high-performing team supporting credit-focused PMs across London and APAC. This is a front-office aligned role, working closely with a profitable desk to build and enhance tools across the full trading lifecycle — from research and analytics through to P&L, risk, and execution support.
What you’ll be doing:
- Develop and maintain Python-based tools and libraries for credit trading desks
- Build risk, P&L, and attribution frameworks used directly by PMs
- Create research toolkits, analytics dashboards, and automation utilities
- Work closely with traders and quants to translate ideas into robust production systems
- Contribute to data pipelines, time-series analysis, and monitoring tools
Requirements:
- ~3–7 years’ experience as a Quant Developer / Strat / Python Engineer in a front-office environment
- Strong Python skills (Pandas, NumPy, SQL)
- Solid understanding of credit products (e.g. CDS, corporate/government bonds)
- Experience with risk, P&L, or attribution tooling
- Background in a buy-side firm preferred (sell-side credit desk also considered)
- Strong engineering fundamentals with experience delivering production-grade code
Nice to have:
- Experience with KDB, Kafka, Databricks, or similar data technologies
- Familiarity with market data, pricing, and credit analytics
- Exposure to dashboarding tools (e.g. Dash, Grafana)
- Understanding of derivatives and market conventions
Why apply?
- Direct exposure to PMs and trading decisions
- Opportunity to take ownership of key systems in a lean team
- Strong compensation and growth potential
- Collaborative, high-performance environment within a well-established hedge fund
Python Developer - Quant Hedge Fund. in London employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Quant Hedge Fund. in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to quant development and credit trading. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to credit products or trading tools. 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 your Python skills and understanding of credit products. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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 risk, P&L, and attribution tooling to catch our eye.
We think you need these skills to ace Python Developer - Quant Hedge Fund. in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Python Developer in a hedge fund. Highlight your experience with Python, especially in building tools for trading desks, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit products and how your background aligns with the needs of the team. Be specific about your experience with risk, P&L, and attribution frameworks.
Showcase Your Technical Skills: Since this role requires strong Python skills, make sure to include examples of your work with libraries like Pandas and NumPy. If you’ve worked with data technologies like KDB or Kafka, mention those too – they could give you an edge!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Radley James
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects, particularly in a front-office environment.
✨Understand Credit Products
Familiarise yourself with credit products such as CDS and corporate/government bonds. Being able to speak knowledgeably about these will show that you understand the context of the role and can contribute effectively.
✨Prepare for Technical Questions
Expect technical questions that assess your engineering fundamentals and ability to deliver production-grade code. Practise coding challenges and be prepared to explain your thought process clearly.
✨Showcase Your Collaboration Skills
Since this role involves working closely with traders and quants, be ready to share examples of how you've successfully collaborated in the past. Highlight any experience translating ideas into robust systems, as this will resonate well with the interviewers.