Quantitative Strategist - Credit & Fixed Income - Bruin
  • England,London,City of London
  • Full Time, Permanent
  • Competitive salary
Job Description:
Full job description Quantitative Strategist - Credit & Fixed Income
A financial services organisation is seeking a Quantitative Strategist to join its Credit & Fixed Income analytics team. This role sits at the intersection of financial markets, mathematical modelling, and software engineering, working closely with trading, investment and risk teams to build and enhance pricing and risk analytics. You will play a key role in developing and maintaining models across interest rates, inflation and credit, contributing directly to business-critical systems and enabling robust risk management and informed investment decisions.
This is a highly collaborative, hands-on environment where your work will be deployed into production and have immediate impact. The team is focused on evolving a modern in-house analytics platform, offering the opportunity to work on complex technical challenges within a fast-paced, delivery-driven setting.
Key responsibilities include:
• Developing and maintaining pricing models and analytics for credit and fixed income products
• Building and enhancing market data curves and curve-fitting frameworks across asset classes
• Supporting and improving derivatives pricing models for rates, inflation and credit instruments
• Contributing to the performance and scalability of the firm’s core risk engine
• Collaborating with cross-functional teams to understand portfolio impacts and deliver robust solutions

Key requirements:
• Strong quantitative background (e.g., mathematics, physics, engineering or similar) with solid financial modelling knowledge
• Experience developing or supporting models within credit and/or fixed income markets
• Advanced programming skills (e.g., Python, C++, Rust or similar) in a production environment
• Strong problem-solving ability with excellent communication and collaboration skills

This is an excellent opportunity to join a high-calibre team working on sophisticated analytics within a dynamic and technologically advanced environment, offering significant scope for impact and professional growth.
Job number 3935688

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