VP & Head- Non-Retail Credit- ICAAP Validation

As a leader of the model validation & monitoring team for non-Retail models within FAB GBS India, your main goal is to ensure the validation and monitoring of credit risk/IFRS9/Credit for non-Retail portfolios and ICAAP Stress Testing models in a timely and high-quality manner. You will collaborate closely with the non-Retail Model Validation team in the Head Office and other stakeholders to meet audit and Central Bank requirements. Your role requires a strong statistical background, technical knowledge, and industry experience in risk models for non-Retail portfolios and stress testing models. - Fully understand all major statistical tests used for modeling and their impact on the bank's risk profile. - Design appropriate validation techniques and ensure their implementation. - Plan and execute validation and monitoring calendars to meet business, audit, and Central Bank requirements. - Assist the VP, Head of non-Retail Model Validation in engaging with internal and external stakeholders regarding non-Retail model validation. - Supervise GBS team members involved in non-Retail model validation/monitoring. - Provide regular reports to senior management on model risk dashboards and suggest proactive remedial actions. - Maintain and update the Model Validation Policy. - Update model inventory, validation observations, key model risk items, and resolution plans. - Develop a team of technical experts, monitor their performance, and evaluate their progress. - Masters degree in quantitative science (statistics, mathematics, economics) from a premier institution, in UAE or abroad. - 10-13 years of experience in executing Model Validation and Monitoring roles for a bank with a similar product landscape and complexity. - Experience in managing a team of experienced modeling professionals, preferably in a global delivery model with reputed banks. - Hands-on validation experience with non-Retail Ratings and Regulatory models, in addition to ICAAP/Stress testing models. - Strong knowledge of traditional and new modeling techniques, including SAS, Python, R, and other open-source technologies. - Excellent interpersonal and communication skills, both verbal and written. - Proven experience in developing high-performing teams and managing conflicts effectively.,