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Join a leading Credit Risk Analytics Team
You will play a key part in supporting organisations to enhance their credit measurement frameworks, methodologies, and systems. You will work across a wide range of credit asset classes, helping businesses meet regulatory requirements and strengthen their risk management capabilities.
Your responsibilities will include:
- Helping banks improve and develop credit risk measurement frameworks, focusing on IFRS 9, IRB, and stress testing methodologies
- Providing modelling and analytical support for credit measurement to a range of banks
- Assisting first-line teams in building or refining credit risk models, supporting second-line oversight functions, or reviewing internal audit processes
- Contributing to the design and enhancement of broader credit risk infrastructures—covering areas such as data, controls, model monitoring and maintenance, risk governance, reporting, and external disclosures
- Supporting audit activities by assessing the robustness and implementation quality of IFRS 9 and RWA methodologies to identify weaknesses or areas for improvement
- Taking part in a variety of credit measurement-focused projects, such as due diligence, stress testing, and asset quality reviews
- Contributing to thought leadership and best practices in credit risk analytics
- Working within a collaborative and inclusive team culture that values diverse perspectives and contributions
Connect to Your Skills and Experience
- Strong credit risk modelling experience, including development, validation, or delivery of models under IFRS 9, IRB, or stress testing frameworks
- Good understanding of credit risk governance, financial management, and stakeholder needs
- Familiarity with credit fundamentals across various financial asset classes
- Ability to explain technical and modelling concepts to non-specialist audiences
- Strong project management and leadership skills
- Proven ability to build effective partnerships with clients and stakeholders
- Proficiency in Python for modelling purposes
- Competence in other modelling tools such as SAS, SQL, R, and advanced MS Excel (including VBA)
- Creative thinker with a desire to innovate and challenge established practices
- Awareness of current economic and market developments
- Understanding of regulatory credit risk
- Commercial insight into the use of credit model outputs and implications for business decisions
- Familiarity with broader rating system components, such as data management, systems, controls, and use testing
- Knowledge of evolving regulatory frameworks affecting credit measurement
- Experience with data visualisation tools and techniques