Global Banking & Markets, Structured Credit Strats

What we do 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 is particularly focused on the Structured Funding Derivatives (SFD) business, which is specialized in providing customized financing solutions to clients in the form of Total Return Swaps (TRS), Repurchase Agreements (Repos), and other derivative products, covering a wide range of collateral asset classes including bonds, loans, asset-backed securities (ABS), private credit, and equities in both 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 highly sophisticated multi-asset environment

Your Impact Structured Credit Strats within SFD business play a critical role in deal structuring, pricing, execution, and risk management. This is a highly visible platform to put quantitative skills and knowledge in use to make a direct impact on business growth. You will gain familiarity with different asset classes while working on various trades and projects and build a broad foundation of product knowledge.

Responsibilities Improve existing pricing models and create new ones for structured products.

Understand transaction risks and analyse drivers of profits and losses.

Provide analysis for new transactions.

Drive commercial outcomes using data.

Improve existing and create new models for the pricing and analysis of derivatives

Identify, curate, and integrate new structured and unstructured datasets into models.

Build end to end solutions from data collection to automated actions.

Who We Look For Strong quantitative and coding skills with desire to develop commercial mindset

Solid work ethics, team oriented, high levels of motivation.

Ability to work in fast-paced environment and time-sensitive situations.

Effective communication skills in verbal and writing to both technical and business audience.

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

Strong math and quantitative skills

Experience in object-oriented programming with a language such as C++, Java or Python.

Knowledge of Stochastic calculus and derivatives pricing, or Machine Learning background

Knowledge of credit market and products, interest rates, FX, or risk management is preferred.

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