Job Description: Credit Risk ManagerWe are seeking a highly skilled and motivated Credit Risk Manager. The successful candidate will be responsible for leading the development of retail credit risk models, focusing on IFRS 9 and IRB. This role will directly report to the Partner/Technical Director and will manage a team of Senior Consultants, ensuring high-quality delivery across client engagements.Key ResponsibilitiesLead the end-to-end development, enhancement, and maintenance of retail credit risk models (PD, LGD, and EAD) under IFRS 9 and IRB frameworks.Oversee and guide the modelling team (Senior Consultants) to deliver regulatory-compliant, statistically robust, and business-relevant modelsEnsure adherence to PRA, EBA, and Basel 3.1 requirements, addressing regulatory feedback and embedding best practices in model risk managementConduct and review statistical analysis, back-testing, calibration, and monitoring of models to ensure accuracy and predictive powerProvide technical expertise in Python, SAS, and SQL for model implementation and reviewEngage with stakeholders including regulators, model validation teams, and senior management to present methodologies, assumptions, and resultsDrive innovation in modelling approaches, incorporating machine learning and advanced statistical techniques where appropriateEnsure proper documentation of model development, governance, and monitoring processesContribute to thought leadership, training, and mentoring of junior team members to build modelling capability within the consultancyManage project plans, resources, and deliverables to meet client deadlines and internal quality standards.Required Qualifications and ExperienceStrong academic background, ideally MSc or PhD in a quantitative field (Mathematics, Statistics, Economics, Finance, or related discipline)Proven experience in developing, calibrating, and validating retail credit risk models under IFRS 9 and/or IRB regulatory frameworksExtensive knowledge of PRA and EBA regulatory guidelines for credit risk modellingProficiency in programming languages and tools such as Python, SAS, and SQL for data analysis and model developmentStrong understanding of statistical methods including logistic regression, survival analysis, and machine learning techniquesExcellent stakeholder management skills with experience in presenting technical results to non-technical audiences, including regulatorsExperience in mentoring or managing junior analysts or consultants in a modelling functionAbility to manage multiple projects simultaneously while maintaining high quality standardsDesirable SkillsExperience working within Tier 1 banks, challenger banks or consultanciesExposure to climate risk, stress testing, and capital modelling frameworks (ICAAP, CCAR)Knowledge of model risk management principles (e.g., SR 11-7, PRA SS1/23)Track record of innovation in modelling approaches, including use of advanced analytics and automationReporting LineThis role reports directly to the Partner/Director and manages a team of Senior Consultants. The Manager will play a key role in ensuring the delivery of high-quality, regulatory-compliant credit risk modelling solutions to our clients
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