Risk Management - Quant Analytics Manager - Vice President

Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Vice President in AI Governance in the MRGR AI Governance team, you lead and execute firmwide and internal governance initiatives for GenAI/LLM tools and AI models. You drive practical product thinking and prototype delivery in a fast-paced, multidisciplinary environment. You help us build scalable governance frameworks and collaborate across functions. You use your expertise to solve real-world challenges and support our strong, resilient culture.
Job responsibilities:
Design and implement GenAI governance frameworks, policies, and procedures
Collaborate with stakeholders to identify emerging AI/ML and GenAI practices
Drive updates to model risk management policies and standards
Partner across functions to design controls and scalable processes
Own project workstreams end-to-end
Develop senior management and regulatory communications
Perform analysis on model/tool classification and governance frameworks
Serve as a GenAI governance subject matter expert
Use coding agents to build prototypes and operationalize governance
Produce readable code, tests, and documentation
Build lightweight web prototypes for governance workflows
Required qualifications, capabilities, and skills:
5 years in risk management, technology, model development, or model risk roles in large organizations
Excellent stakeholder management and communication skills
Strong risk and control mindset
Translate governance requirements into user journeys and prototypes
Understanding of GenAI/LLM methodologies and business risks
Lead governance/framework build-out and deliver change
Background in Model Governance, Model Validation, or Regulatory Relations
Build web prototypes for governance workflows
Preferred qualifications, capabilities, and skills:
MS degree in a quantitative discipline
Python proficiency and familiarity with LLM/GenAI libraries
Understanding of responsible AI expectations and model risk regulation
Understanding of cloud-based solutions and deployment considerations
Experience with technology systems design practices (Agile, story writing, Figma UX)