Risk Management - Quant Analytics Manager - Vice President

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. invites an experienced Vice President to lead GenAI governance within the MRGR AI Governance team in New Jersey.

You will shape firmwide governance, policies, and controls for GenAI/LLM usage and model risk, guiding stakeholders through risk-aware AI adoption in a fast-paced environment. You will build scalable governance frameworks, develop prototypes, and communicate with senior leadership and regulators.

Qualifications

• 5 years in risk management, technology, model development, or model risk in large organizations.

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

Skills

Stakeholder management

Governance leadership

GenAI/LLM knowledge

Model governance

User journey prototyping

Python proficiency

LLM libraries

Cloud deployment awareness

Agile/workflow prototyping

Education

MS degree in quantitative discipline

Tools

Python

Job description

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)