Fixed Income Python Engineer | Quant Trading

Fixed Income Python Engineer | Quant Trading

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Paragon Alpha - Hedge Fund Talent Business

At a Glance

  • Tasks: Build and scale risk analytics systems for a leading quant hedge fund.
  • Company: Join a top global trading firm expanding rapidly in London.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Collaborate with traders and quants in a fast-paced, innovative setting.
  • Why this job: Make an impact by developing tools that support critical trading decisions.
  • Qualifications: Strong Python skills and understanding of fixed-income instruments required.

The predicted salary is between 60000 - 80000 £ per year.

Paragon are working with a global quant hedge fund, who have enjoyed a long period of success, marking them as one of the world's leading trading firms. London expansion continues at an aggressive rate. Part of this build will be to hire an experienced Software Engineer to join a high-performing risk team working at the intersection of technology, data, and global markets. In this role, you’ll help build and scale the systems that power risk analytics across a sophisticated trading environment. You’ll collaborate closely with traders, quants, and risk professionals to deliver reliable, high-impact tools that support decision‑making across fixed‑income strategies.

Scope

  • Developing robust risk analytics platforms and data services
  • Building and optimising pipelines that drive reporting and insights
  • Working with trading/risk teams to translate complex requirements into scalable solutions
  • Troubleshooting data and production issues in a fast‑paced environment
  • Continuously improving system performance, reliability, and design

Target profile

  • Strong Python engineering experience in production environments
  • Solid understanding of fixed‑income instruments (bonds, swaps, futures, repos)
  • Familiarity with risk metrics such as sensitivities, PnL, and stress testing
  • Experience with data engineering, SQL, and system design

Please apply if you meet the target profile, and would like to challenge yourself in a premier buy side outfit.

Fixed Income Python Engineer | Quant Trading employer: Paragon Alpha - Hedge Fund Talent Business

Join a prestigious global quant hedge fund in London, where innovation meets excellence. As a Fixed Income Python Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and professional growth, offering you the chance to develop cutting-edge risk analytics tools in a fast-paced trading environment. With a commitment to employee development and a focus on impactful contributions, this firm stands out as an exceptional employer for those seeking meaningful and rewarding careers.

Paragon Alpha - Hedge Fund Talent Business

Contact Details:

Paragon Alpha - Hedge Fund Talent Business Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fixed Income Python Engineer | Quant Trading

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working in quant trading or risk teams. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python projects, make sure to share it. It’s a great way to demonstrate your expertise in building robust systems and solving complex problems.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of fixed-income instruments and risk metrics. Practice coding challenges and be ready to discuss how you’d tackle real-world problems in a fast-paced trading environment.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who fit the bill. Plus, it shows you’re genuinely interested in joining our team and making an impact.

We think you need these skills to ace Fixed Income Python Engineer | Quant Trading

Python Engineering
Fixed-Income Instruments
Risk Metrics
Data Engineering
SQL
System Design
Troubleshooting

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Fixed Income Python Engineer role. Highlight your Python engineering experience and any relevant projects that showcase your skills in risk analytics and fixed-income instruments.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quant trading and how your background aligns with the needs of the risk team. Be specific about your experience with data engineering and system design.

Showcase Your Problem-Solving Skills:In your application, don’t forget to mention instances where you've tackled complex problems or optimised systems. This will demonstrate your ability to thrive in a fast-paced environment, which is key for this role.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity in our growing London team!

How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business

Know Your Python Inside Out

Make sure you brush up on your Python skills, especially in the context of production environments. Be ready to discuss your past projects and how you've used Python to solve complex problems, particularly in finance or risk analytics.

Understand Fixed-Income Instruments

Familiarise yourself with fixed-income instruments like bonds, swaps, and futures. Be prepared to explain how these instruments work and their relevance in risk management. This knowledge will show that you can speak the same language as traders and quants.

Prepare for Technical Questions

Expect technical questions related to data engineering and SQL. Brush up on your system design principles and be ready to tackle real-world scenarios. Practising coding challenges can also help you feel more confident during the technical part of the interview.

Show Your Problem-Solving Skills

Be ready to discuss how you've approached troubleshooting in fast-paced environments. Share specific examples of how you've improved system performance or reliability, as this will demonstrate your ability to deliver high-impact tools in a trading context.