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 world's 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 the Lead of Fraud Vendor Modeling team. In this critical role you will be managing all vendor models used in CCB fraud risk space and 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 modelsCollaborate with various partners in Risk Strategy, Product, Vendors, Model Governance, Compliance, Risk, Legal, etc.Manage model risk and related governance and controlsSynthesize the findings at various points through the model onboarding and management process to share actionable insights with senior leadership and other stakeholdersLead 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 degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fieldsMinimal 10-year of experience in developing and managing predictive risk models in financial institutionsMinimal 3-year experience managing a sizable team of modelers. Experience in managing a team in a dynamic environment of high mobilityPolished and clear communications with senior management

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