VP, Model Governance

Role Overview

• Management of the Model Risk Policy and Standards including the development and implementation of key control processes and supporting procedures/job aids/templates/guideline/training
• Partner with the validation center of excellence (COE) to design, formalize, implement, and maintain the GEN AI model governance/validation framework
• Systematically address the opportunities identified through the regulatory exams, MRM self – assessment, quality assurance program and model community’s feedback to continuously improve validation rigor, value, speed, and model stakeholder experience.
• Provide strategic guidance and innovative directions to the MRM team, and lead the implementation of best practices and recommendations.
• Maintenance and enhancement of the centralized Model Inventory and Attestation Process
• Serve as Secretary of the Model Risk Oversight Sub-Committee and supporting Working Group, responsible for agendas, meeting minutes, charter maintenance, etc.
• Key liaison to support other 2nd line of defense risk pillars activities such as Enterprise Risk Assessment, Risk and Control Self-Assessment, and Issue Management processes, etc., and strengthen strategic positioning by integrating insights and best practices across risk management functions.
• Deliver comprehensive management reports on both individual and aggregate model risk.
• Identify thematical issues, and provide actionable insights and guidance to the 1st line to proactively manage and mitigate model risk.
• Design and deliver board education
• Partner with the supplier risk management and source to pay team to manage and enhance the model vendor onboarding process, ensuring a seamless integration of vendor capabilities to support robust model development and deployment.
• Facilitate regulatory examinations and internal audits of the modeling process and lead the model governance sessions to ensure compliance and foster continuous improvement in model risk management practices.
• Keep pace with the latest developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services to provide expert, practical advice to ensure the group stay relevant and current.

Requirements

• Master’s degree with emphasis in Statistics, Mathematics, Business, Economics, Finance or other quantitative field and 10+ years in model risk management or other risk governance in financial services, banking, or retail
• In lieu of a Master’s degree, a bachelor’s degree (or foreign equivalent) in Statistics, Mathematics, Economics or related quantitative filed and 14+ years’ experience in model risk management or other risk governance in financial services, banking, or retail
• 5+ years’ experience managing people
• Strong knowledge of Regulatory requirements for Model Risk (e.g. SR 11-7/OCC 2011-12) with proven track record of delivering Regulatory requirements and other Regulatory requirements
• Proven record of leading cross function projects from ideation to implementation
• Previous experience with Machine Learning / GEN AI oversight or development
• Ability and flexibility to travel for business as required

Benefits

• Flexible work arrangements
• Professional development