JPMorgan Senior Internal Audit Associate - Model Risk 

United States, New Jersey, Jersey City 

664119876

As a Senior Associate in the Model Risk team, you will play a crucial role in conducting independent model risk control assessments across various modeling techniques, including AI/ML. Your work will help shape business strategy and protect the firm by evaluating controls and designing cutting-edge solutions.

Job Responsibilities:

• Conduct robust quantitative and qualitative analysis to evaluate adherence to model development standards and procedures.
• Document model risk control assessments in high-quality technical reports and communicate findings to stakeholders.
• Identify control weaknesses and gaps in the firm's model risk management framework.
• Set and enhance standards for model risk control assessments to adapt to regulatory changes.
• Lead and execute end-to-end model risk analysis and strategic team projects.
• Validate strategic solutions addressing regulatory issues related to model risk management.
• Collaborate with quants, risk and finance professionals, and senior management to oversee model usage and performance assessment.

Required Qualifications, Capabilities, and Skills:

• PhD or Master's Degree in Mathematics, Data Science, Financial Engineering, Economics, Quantitative Finance, Computer Science, AI/ML, or related field.
• 2+ years of experience in AI/ML product development, quantitative model development, model validation, or data science in financial services.
• Strong leadership and communication skills for writing technical reports and influencing change.
• Proficiency in programming languages (e.g., Python, R) and statistics, derivative pricing, and machine learning techniques.
• Risk and control mindset with the ability to assess materiality and escalate issues.
• Strong critical thinking and analytical skills for model risk analysis.
• Excellent communication skills for interfacing with other functional areas on model-related issues.
• Preferred: Proficiency in developing and using AI/ML solutions and frameworks to ensure code quality and reliability.

Preferred Qualifications, Capabilities, and Skills:

• Understanding of AI/ML solutions (e.g., Gen-AI, agentic AI) and frameworks (e.g., pytest) for code quality and reliability.