Risk Management - Model Risk Program Associate

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 Model Validation Analyst in the Risk Management and Compliance team, you help us shape business strategy and drive innovation. You use your expertise to protect the firm through rigorous model validation and risk management. You collaborate with diverse teams to solve real-world challenges and support our company, customers, and communities. You play a key role in keeping JPMorgan Chase strong and resilient.

Job responsibilities:

• Validate models to ensure accuracy and reliability
• Assess and manage risks across business functions
• Collaborate with cross-functional teams to drive innovation
• Develop and implement model validation frameworks
• Communicate findings and recommendations to stakeholders
• Monitor emerging risks and regulatory changes
• Support business growth through responsible risk management
• Document validation processes and results
• Provide expert judgment on model performance
• Challenge the status quo to improve practices
• Contribute to a culture of excellence in risk management

Required qualifications, capabilities, and skills:

• Bachelor’s degree in a quantitative field
• 2 years of experience in model validation or risk management
• Strong analytical and problem-solving skills
• Proficiency in statistical analysis and modeling techniques
• Excellent communication and collaboration abilities
• Knowledge of regulatory requirements in financial services
• Attention to detail and commitment to quality
• Ability to work independently and as part of a team
• Experience with data analysis tools (e.g., Python, R)
• Understanding of risk management principles
• Professional judgment and integrity

Preferred qualifications, capabilities, and skills:

• Master’s degree or higher in a quantitative discipline
• Experience in financial services or banking
• Familiarity with machine learning models
• Advanced proficiency in programming languages
• Experience with model governance frameworks
• Knowledge of emerging risk trends
• Leadership or mentoring experience