Job
Description
The Model/Anlys/Valid Group Manager is responsible for managing complex, critical, and large professional disciplinary areas. You will lead and direct a team of professionals, requiring a comprehensive understanding of multiple areas within a function and how they interact to achieve the function's objectives. You must have a strong commercial awareness as you are generally accountable for delivering a full range of services to one or more businesses or geographic regions. Excellent communication skills are necessary for negotiating internally, often at a senior level, and some external communication may be required. You will be held accountable for the end results of your area and will have control over resources, policy formulation, and planning. Your primary focus will be on short- to medium-term planning of actions and resources for your area. Your responsibilities will include developing, enhancing, and validating methods of measuring and analyzing risk for all risk types, including market, credit, and operational risks. You will also be involved in developing, validating, and strategizing the use of scoring models and related policies. Additionally, you will oversee model development, validation, and deployment efforts, advancing Risk Management methodology and integrating models into business decisions and planning. As the Model/Anlys/Valid Group Manager, you will manage annual quantitative and qualitative assessments and submissions, work with large datasets and complex algorithms to solve data science challenges, and leverage big data to develop innovative deployable solutions. You will help introduce cutting-edge model techniques to drive profitability through innovation and ensure timely model performance tracking. Moreover, you will assist in process automation to improve process efficiencies and compliance with internal and external guidelines. You will collaborate with Risk and Decision Management organizations to understand new data sources and improve the process of defining, extracting, and utilizing new data. Interacting with senior management, you will facilitate understanding of risk model usage and inform critical decisions. Providing leadership and guidance for junior modelers, you will appropriately assess risk in business decisions and drive compliance with applicable laws, rules, and regulations. To be successful in this role, you should have at least 10 years of experience, sound knowledge of statistical modeling concepts and industry best practices, and experience with econometric and statistical modeling or application risk scoring. Excellent quantitative and analytic skills are essential, along with the ability to deliver compelling presentations and influence executive audiences. You must be an excellent communicator, able to engage and inspire your team forward, and drive innovation through thought leadership while maintaining an end-to-end view. Effective cross-functional project, resource, and stakeholder management skills are required, as well as the ability to engage with internal audit and external regulators. Experience working in Big data environments and intellectual curiosity to stay abreast of technological advances are advantageous. A Bachelor's or equivalent degree, potentially a Master's degree, is necessary for this role. This position falls under the Risk Management job family group and the Risk Analytics, Modeling, and Validation job family. It is a full-time role that requires analytical thinking, business acumen, constructive debate, data analysis, escalation management, policy and procedure knowledge, risk controls and monitors expertise, risk identification and assessment skills, and proficiency in statistics. For complementary skills and further details, please see the provided information or contact the recruiter.,
