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 Essential: 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 Desirable: 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