Job
Description
Are you seeking an exciting opportunity to become a part of a dynamic and expanding team in a fast-paced and challenging field As a statistical and machine learning Vice President and subject matter expert, you will join the Model Risk Governance and Review (MRGR) team within the Consumer and Community (CCB) line of business. Your primary responsibilities will include: Engaging in comprehensive model validation activities by assessing conceptual soundness, reasonableness of assumptions, reliability of inputs, completeness of testing, and correctness of implementation related to model development and usage. Conducting thorough reviews of proposed enhancements to existing models and scope extensions for current models, providing specific approvals as necessary. Assessing risks associated with advanced AI/ML models, including Generative AI, and ensuring that appropriate model review and governance processes are followed to effectively mitigate potential risks. Managing activities related to the model risk lifecycle, including overseeing the accuracy of the model inventory, reviewing ongoing model performance monitoring, conducting annual status assessments, and managing model change control. Maintaining robust model risk controls for CCB models and serving as the primary point of contact, proactively identifying and escalating issues to ensure timely and sound resolutions. Providing leadership and mentorship to junior resources, guiding them in Model Review and Governance activities. Participating and actively contributing to the activities and initiatives of MRGR CCB and MRGR as a whole, fostering a collaborative and innovative environment. Staying updated on the latest developments in consumer banking, including advanced AI/ML modeling techniques, products, markets, risk management practices, and industry standards. We are seeking an individual excited about joining our organization. If you meet the following requirements, we encourage you to apply for consideration for this role: Experience in Model Development or Model Validation - 8-10 Years Strong quantitative and analytical skills: The role necessitates a robust quantitative background (PhD/Master's Degree or equivalent) in Statistics, Economics (with Econometrics), Data Science, Computer Science, Operations Research, or a quantitative science, etc. Candidates with knowledge of both statistical/econometric methodologies and Machine Learning modeling methodologies are preferred. Programming Skills: Proficiency in at least one programming language such as Python, SAS, R, etc. Product domain expertise in consumer banking/retail banking; ability to comprehend the business/knowledge of regulations surrounding the business. Extensive experience and familiarity in Model Development or Model Validation in Financial institutions. Strong communication skills - verbal and written, with the ability to interface with stakeholders on model-related issues. Risk and control mindset: Ability to ask incisive questions, assess the materiality of issues, and escalate as required. Preferred qualifications, capabilities, and skills include: Sound project management and organizational skills: Flexible, adaptable to shifting priorities to achieve the most effective result, and able to work in a fast-paced, results-driven environment.,
