Are you ready to make an impact in the world of model risk management? Join our industry-leading Model Risk team within Internal Audit and help shape the future of JPMorgan Chase.

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.