Lead Model Validation Analyst We are looking for a Lead Model Validation Analyst, to independently review and validate a wide range of financial models, including those for marketing, acquisitions, customer management, and impairment provisioning. This is a critical position to ensure our models are robust, accurate, and compliant with regulatory standards. We are looking for an experienced professional who can work autonomously and provide thought leadership. This role is a key part of our Second Line Credit Risk Team, which provides independent oversight of the credit strategies and models developed by our First Line teams. Responsibilities Perform independent validation of all key models used by the business. This involves assessing the model\'s conceptual soundness, data integrity, and implementation. Work closely with model developers and business units to address model risks and ensure timely resolution of identified issues. Provide oversight for ongoing model performance monitoring and recalibration activities. Prepare comprehensive validation reports detailing the review process, findings, and recommendations. Communicate these findings effectively to model owners, developers, and senior management. Ensure all validation activities and model documentation comply with internal policies and external regulatory guidance. Contribute to the enhancement of the model validation framework and methodologies to keep pace with industry best practices and evolving regulatory requirements. Proactively problem‑solve, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day‑to‑day work. Qualifications A Bachelor\'s or Master\'s degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, or Computer Science. A Ph.D. is a plus. 7+ years of experience in model development, model validation, or a related quantitative risk management role, preferably within the financial services industry. Strong knowledge of financial products, risk management principles, and statistical modeling techniques. Proven ability to work effectively in a team environment, fostering strong partnerships with stakeholders to resolve model challenges. Excellent analytical and problem‑solving skills, able to work independently with minimal guidance. Exceptional communication skills, with the ability to explain complex technical concepts clearly to both technical and non‑technical stakeholders. Proficiency in programming languages such as SQL, Python, and R. Familiarity with regulatory guidance on model risk management, such as IFRS9. Benefits We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development
