Applied AI ML VP

Job summary:

Company Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking financial services for consumers and small business commercial banking financial transaction processing and asset management. A component of the Dow Jones Industrial Average Company Chase & Co. serves millions of consumers in the United States and many of the worlds most prominent corporate institutional and government clients under its Company and Chase brands. Information about Company Chase & Co. is available at Company website.

Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services. CCB Risk Management partners with each CCB sub-line of business to identify assess prioritize and remediate risk.

We are currently seeking an Applied AI ML VP as theLead of Fraud Vendor Modelingteam.In this critical roleyou will be managing all vendor models used in CCB fraud risk spaceand a team based out of multiple locations.

This includes understanding business requirement of new vendor models usages benefits sourcing relevant materials from vendor product model users for model document submission for MRGR and Compliance review. The team needs to take care of all governance related activities like ongoing performance monitoring contingency plans annual assessment of models re-reviews annual model upgrades addressing model risk issues (MRIs) action plans on time etc.

The candidate should have a strong understanding of model governance process with respect to MRGR and Fair Lending reviews knowledge about fraud space exposure to multiple stakeholders management and people management.

Job responsibilities:

• Collaborate with risk strategy and product teams to understand business needs and potential model impact of using vendor models
• Collaborate with various partners in Risk Strategy Product Vendors Model Governance Compliance Risk Legal etc.
• Manage model risk and related governance and controls
• Synthesize the findings at various points through the model onboarding and management process to share actionable insights with senior leadership and other stakeholders
• Lead strategic discussions on providing comprehensive rationale for model selection and set strategic direction for model review and usage efforts.
• Establish and oversee comprehensive monitoring strategies ensuring continuous performance monitoring and alignment with strategic objectives.
• Anticipate risks associated with vendor models and drive strategic risk management initiatives ensuring proactive and comprehensive risk mitigation.

Required qualifications capabilities and skills:

• Ph.D. or MS degreein Mathematics Statistics Computer Science Operational Research Econometrics Physics or other related quantitative fields
• Minimal 10-year of experience in developing and managing predictive riskmodels in financial institutions
• Minimal 3-year experience managing a sizable team of modelers. Experience in managing a team in a dynamic environment of high mobility
• Polished and clear communications with senior management

• Proven leadership in client/stakeholder/partner relationship management and high-performance team development