Fixed Income Quant Developer: Risk Analytics & Tools in London

Fixed Income Quant Developer: Risk Analytics & Tools in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Oxford Knight

At a Glance

  • Tasks: Build and maintain tools for trading risk analysis and reporting.
  • Company: Join Oxford Knight, a leading firm in financial technology.
  • Benefits: Competitive salary, collaborative culture, and opportunities for growth.
  • Other info: Fast-paced environment with excellent career development opportunities.
  • Why this job: Make an impact in risk analytics while working with top professionals.
  • Qualifications: Strong Python skills and knowledge of fixed income products required.

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

Oxford Knight is seeking a Quant Developer to join the Risk team in London. You will build and maintain tools to support trading risk analysis and reporting, collaborating with Traders, Researchers and Risk Managers to deliver scalable risk infrastructure for fixed income products.

The role emphasizes strong Python development, deep fixed income knowledge, and translating requirements into robust technical solutions within a fast-paced, collaborative environment.

Fixed Income Quant Developer: Risk Analytics & Tools in London employer: Oxford Knight

As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.

Oxford Knight

Contact Details:

Oxford Knight Recruitment Team

We think you need these skills to ace Fixed Income Quant Developer: Risk Analytics & Tools in London

Python
Communication Skills
Problem-Solving Skills
SQL
Automation
Attention to Detail
Data Engineering