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About the role The Financial and Model Risk (FaM) function is an independent 2nd line Risk team reporting to the Chief Risk Officer. As trusted advisors to the 1st line of defence, we support risk-based decision-making by ensuring models across the Group are reliable, accurate and well controlled. The role holder will independently validate and verify a wide range of models, primarily for Credit Risk but also those supporting Finance, Treasury and Economic Crime. Along with carrying out detailed reviews of new and existing models, the role holder will apply statistical and analytical techniques using specialist software and clearly communicate findings to model risk forums and committees. Collaboration is key and the role holder will work closely with colleagues from different areas of the business and contribute to broader model risk initiatives, including refining risk appetite and enhancing validation standards. We welcome applicants who bring strong technical and analytical skills, experience with statistical or modelling tools, and the ability to explain complex topics in a clear and accessible way. Location : We operate on a team-ledhybrid approach with at least 2 days a month in the Coventry and / or Manchester office Our benefits include: 28 days holiday a yearplus bank holidays and a holiday buy/sell scheme Succes Share - Annual discretionary bonus scheme Personal pension scheme Life assurance (6 times annual salary) We reserve the right toclosethis advertearlyif we receive ahigh volumeof suitable applications About you For this role youll need to have: Strong breadth of experience working with and validating statistical models and deterministic quantitative methods (DQMs). A solid understanding of the regulatory framework and expectations relating to model risk management. Confident stakeholder-management skills, with the ability to work collaboratively, influence decisions and build positive relationships. Experience interacting with senior managers, with the ability to communicate complex information in a clear and accessible way. A background in a statistical or analytical environment, ideally within financial risk management, model validation or model development. Knowledge and experience of programming in SAS or Python, along with advanced skills in MS Excel. Experience in these areas would be helpful: Exposure to modelling areas such as advanced internal ratings-based (A-IRB) or credit forecasting models. A broad understanding of other models or quantitative techniques used across the wider business. Knowledge of balance-sheet forecasting tools such as QRM. About us In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with the UKs original ethical bank was the start of an exciting journey. Trusted by over four million people, were a mutually owned business free from shareholders, and with our combined experience of almost 300 years, our ethics and dedication will continue to guide us. Together, we have shared values and an ethical approach towards our members, customers and colleagues. Were officially recognised as a Great Place to Work and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing. Were serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know youll build more than just a career with us. Flexibility and why it matters We understand the need for flexibility, so wherever possible, well consider alternative working patterns.Have a chat with us before you apply to see what the possibilities are for this role. Proud to be a Disability Confident Committed Employer Were proud to offer an interview or assessment to every disabled applicant who meet the minimum criteria for our vacancies. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme. If there are ever occasions where it is not practicable to interview all candidates that meet the essential criteria, such as when we receive a high number of applications, we commit to interviewing disabled candidates who best meet the minimum essential and desirable criteria. TPBN1_UKTJ