Credit Risk Analyst

Our Risk Management Group’s Credit Modelling team in London is responsible for all aspects of credit exposure measurement and provisioning, including counterparty credit risk (CCR) exposure measurement and methodology. The team works cross-functionally to ensure robust processes, tools, and methodologies are in place to support the organisation's risk management objectives. By fostering collaboration and innovation, the team plays a critical role in maintaining Macquarie’s strong risk culture.

While Macquarie offers hybrid working for many of our roles, this role does require 3 days a week in our advertised location.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

You will contribute to the improvement of existing counterparty credit risk models and assist in the development of new methodologies and tools compliant with internal and regulatory requirements. You will also calibrate risk factor evolution model parameters for newly traded assets and those not yet modelled in the CCR system. In this role, you will maintain and develop processes to monitor CCR model performance, analyse model outputs, and prepare reports for stakeholders. Additionally, you will help reduce reliance on legacy non-simulation-based models by onboarding assets and products into the primary counterparty credit risk model, while ensuring comprehensive documentation for all counterparty credit risk processes and systems.

What you offer

Advanced degree in a quantitative discipline, such as mathematics, statistics, actuarial science, engineering, or computer science

1-2 years of experience in financial services, ideally in investment banking or trading systems support

Experience in developing or validating counterparty credit risk models and a strong understanding of counterparty credit risk, as well as the economic, regulatory, and market environments in which banks operate

Knowledge of financial market products, market conventions, and regulatory requirements

Some understanding of physical commodity markets

Strong knowledge of numerical methods, stochastic calculus, and probability theory

Excellent programming skills, including R, Python, and C++

Effective communication skills, with the ability to work both autonomously and collaboratively while managing multiple priorities simultaneously