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Join Barclays as a Model Risk Management - Model Validation VP, where you'll have the chance to lead the independent validation and oversight of risk models, ensuring they meet robust governance and regulatory standards. In this role, you will identify, assess, and manage existing and emerging model risks, while supporting the integration of Best Egg models into the Barclays model governance framework. You will perform in-depth technical analyses, benchmarking, and, where required, develop challenger models to strengthen the validation process and provide effective challenges. The position involves producing high-quality validation reports and presenting insights to key stakeholders, contributing to informed risk management decisions. You will collaborate closely with model owners and developers to communicate validation expectations and enhance the quality of model submissions. Through your expertise, you will help reinforce a strong model risk culture and ensure the integrity and reliability of critical risk models across the organization.
Job Responsibility
Lead the independent validation and oversight of risk models, ensuring they meet robust governance and regulatory standards
Identify, assess, and manage existing and emerging model risks
Support the integration of Best Egg models into the Barclays model governance framework
Perform in-depth technical analyses, benchmarking, and, where required, develop challenger models to strengthen the validation process and provide effective challenges
Produce high-quality validation reports and present insights to key stakeholders
Collaborate closely with model owners and developers to communicate validation expectations and enhance the quality of model submissions
Requirements
Experience in the development and/or independent validation of retail credit risk and loss forecasting models within a controlled framework
Previous experience working in open market personal loan business and modelling
Written and verbal communication skills, with the ability to produce clear, concise model validation documentation and deliver presentations to both technical and non-technical stakeholders
Advanced degree in a numerate discipline (e.g., Mathematics, Physics, Operational Research, Financial Engineering), or equivalent practical experience demonstrating a high level of quantitative and analytical capability
Nice to have
Working knowledge of model risk and governance standards, including the preparation and review of documentation supporting predictive models
Organisational, project management, and stakeholder influencing skills, with the ability to manage competing priorities effectively
Experience engaging with internal and external audit functions, including supporting reviews, responding to findings, and ensuring adherence to control frameworks