Executive Quant Modeling Director, Risk & Model Governance

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 250,000 - 360,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Risk Management Quant Modeling Director-Executive Director to lead validation and governance of Wholesale Grading models within MRGR. You will provide technical leadership and shape risk strategy across the firm.

The role requires a PhD or Master's in a quantitative field, 10+ years of model development/validation experience, and strong Python expertise for validation workflows.

Qualifications

• Master's degree or PhD in a quantitative discipline.
• Minimum 10 years of experience developing or validating Wholesale credit risk models, with focus on grading models.
• Strong written and verbal communication skills; ability to provide technical leadership.

Responsibilities

• Play a senior role in the validation and governance of Wholesale Grading models across the firm including team leadership
• Set and enhance standards for Wholesale model development practices
• Evaluate adherence to development standards and performance metrics
• Identify weaknesses, limitations, and emerging risks through independent testing
• Communicate risk assessments and findings to stakeholders
• Document conclusions in high-quality technical reports
• Support ongoing model usage and aggregate model risk management
• Participate in model-related audits and regulatory examinations
• Provide technical leadership and oversight
• Collaborate with cross-functional teams
• Manage multiple priorities in a fast-paced environment

Skills

Leadership

Communication

Project management

Education

Master's degree or PhD in a quantitative discipline

Tools

Python

Job description

JPMorgan Chase & Co. in Jersey City seeks a Risk Management Quant Modeling Director-Executive Director to lead validation and governance of Wholesale Grading models within MRGR. You will provide technical leadership and shape risk strategy across the firm.

The role requires a PhD or Master's in a quantitative field, 10+ years of model development/validation experience, and strong Python expertise for validation workflows.