Location
London

Hours
Full Time

Salary
Negotiable

About the Role
The Structured Credit Strats team within the Global Markets Division (GMD) is responsible for modelling and pricing structured transactions, as well as developing cutting-edge risk management tools using advanced quantitative techniques. This position focuses on the Structured Funding Derivatives (SFD) business, which provides customized financing solutions to clients through Total Return Swaps (TRS), Repurchase Agreements (Repos), and other derivative products. The role covers a wide range of collateral asset classes including bonds, loans, asset-backed securities (ABS), private credit, and equities across Developed and Emerging Markets.

This role offers a unique opportunity to work directly within the SFD business to deliver tailored solutions to global clients while gaining deep exposure to a sophisticated multi-asset environment. You will play a critical role in deal structuring, pricing, execution, and risk management, applying quantitative skills to make a direct impact on business growth. You will gain familiarity with different asset classes, work on various trades and projects, and build a broad foundation of product knowledge.

Key responsibilities include improving existing pricing models and creating new ones for structured products, understanding transaction risks and analysing drivers of profits and losses, providing analysis for new transactions, driving commercial outcomes using data, identifying and integrating new structured and unstructured datasets into models, and building end-to-end solutions from data collection to automated actions.

Experience
- Strong quantitative and coding skills with a desire to develop a commercial mindset
- Experience in object-oriented programming with languages such as C++, Java, or Python
- Knowledge of stochastic calculus and derivatives pricing, or a background in machine learning
- Familiarity with credit markets and products, interest rates, FX, or risk management is preferred

About you
- Solid work ethic, team-oriented, and highly motivated
- Ability to work effectively in a fast-paced, time-sensitive environment
- Effective verbal and written communication skills for both technical and business audiences

Qualifications
Excellent academic record in a relevant quantitative field such as Mathematics, Physics, Engineering, or Computer Science