Senior Internal Audit Associate - Model Risk

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    "ExternalDescriptionStr": "<p style=\"margin-left:0px;\">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.</p>\n<p style=\"margin-left:0px;\">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.</p>\n<p style=\"margin-left:0px;\"><strong>Job Responsibilities:</strong></p>\n<ul>\n <li>Conduct robust quantitative and qualitative analysis to evaluate adherence to model development standards and procedures.</li>\n <li>Document model risk control assessments in high-quality technical reports and communicate findings to stakeholders.</li>\n <li>Identify control weaknesses and gaps in the firm's model risk management framework.</li>\n <li>Set and enhance standards for model risk control assessments to adapt to regulatory changes.</li>\n <li>Lead and execute end-to-end model risk analysis and strategic team projects.</li>\n <li>Validate strategic solutions addressing regulatory issues related to model risk management.</li>\n <li>Collaborate with quants, risk and finance professionals, and senior management to oversee model usage and performance assessment.</li>\n</ul>\n<p style=\"margin-left:0px;\"><strong>Required Qualifications, Capabilities, and Skills:</strong></p>\n<ul>\n <li>PhD or Master's Degree in Mathematics, Data Science, Financial Engineering, Economics, Quantitative Finance, Computer Science, AI/ML, or related field.</li>\n <li>2+ years of experience in AI/ML product development, quantitative model development, model validation, or data science in financial services.</li>\n <li>Strong leadership and communication skills for writing technical reports and influencing change.</li>\n <li>Proficiency in programming languages (e.g., Python, R) and statistics, derivative pricing, and machine learning techniques.</li>\n <li>Risk and control mindset with the ability to assess materiality and escalate issues.</li>\n <li>Strong critical thinking and analytical skills for model risk analysis.</li>\n <li>Excellent communication skills for interfacing with other functional areas on model-related issues.</li>\n <li>Preferred: Proficiency in developing and using AI/ML solutions and frameworks to ensure code quality and reliability.</li>\n</ul>\n<p style=\"margin-left:0px;\"><strong>Preferred Qualifications, Capabilities, and Skills:</strong></p>\n<ul>\n <li>Understanding of AI/ML solutions (e.g., Gen-AI, agentic AI) and frameworks (e.g., pytest) for code quality and reliability.</li>\n</ul>",
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