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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 development and innovation.
The predicted salary is between 80000 - 100000 £ 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
Credit Quant Developer - for Hedge Fund in London employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Quant Developer - for Hedge Fund in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to credit trading or risk analysis. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of credit products. Practice common quant developer interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of standing out. Let’s get you that dream job!
We think you need these skills to ace Credit Quant Developer - for Hedge Fund in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Quant Developer role. Highlight your Python skills and any experience with credit products, as these are key for us. We want to see how your background aligns with what we’re looking for!
Showcase Your Projects: Include specific projects or tools you've developed that relate to credit trading or risk management. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your skills can benefit our hedge fund. Be genuine and let your personality shine through; we love seeing enthusiasm!
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 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 confidently about these will show that you understand the market and can contribute effectively to the team.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated complex ideas into robust production systems. Highlight any experience you have with risk, P&L, or attribution tooling, as this will be crucial for the role.
✨Be Ready for Technical Questions
Expect technical questions related to data pipelines, time-series analysis, and monitoring tools. Practise explaining your thought process clearly, as communication is key when working closely with traders and quants.