An established UK-based financial institution is looking to appoint a Senior Model Risk Analyst within its central Risk function. The successful candidate will join a specialist Model Risk Management (MRM) team responsible for maintaining the organisation’s framework for model governance, validation, and independent oversight across all risk categories. This role will focus on the independent review and validation of regulatory and non-regulatory models, supporting the broader aim of ensuring that model risk is appropriately identified, managed, and monitored across the business. Key Responsibilities Perform independent validation and periodic reviews of models held in the firm’s model inventory, including IRB, ICAAP and ILAAP models, as well as other quantitative or deterministic methodologies. Support the ongoing development and enhancement of the Model Risk Management Framework, ensuring compliance with relevant regulatory standards and internal governance expectations. Identify, assess, and monitor key model risks, ensuring these are appropriately managed in line with the firm’s risk appetite. Collaborate with risk and quantitative teams on ICAAP, stress testing and model performance assessments. Present validation results, findings, and recommendations to internal committees and senior stakeholders. Maintain up-to-date awareness of regulatory developments and best practices in model risk management. Ideal Candidate Experience working in financial services, ideally within model validation, model risk management, or a quantitative risk discipline. Knowledge of IRB regulatory requirements (CRR, EBA, PRA) and familiarity with model risk guidance such as SR11-7, SS1/23 and SS3/18. Educated to degree level (or equivalent) in a quantitative discipline such as Mathematics, Statistics, Data Science or Engineering. Practical experience using one or more statistical programming tools (SAS, Python, SQL or R). Strong analytical and problem-solving skills with the ability to communicate complex technical information effectively to non-technical audiences. Proactive, organised and able to work both independently and collaboratively.