Applied AI ML Senior Associate

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.

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This includes understanding business requirement of new vendor models, usages, benefits, sourcing relevant materials from vendor, product, model users for model document submission for model risk governance review (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 and exposure to multiple stakeholders 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 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 5+year of experience in developing and managing predictive riskmodels in financial institutions
• Polished and clear communications with senior management