Senior Model Risk Analyst

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Requirements:

• Master’s or Ph.D. degree in a quantitative discipline such as mathematics, statistics, data science, economics, finance, computer science, or any related field.
• 1+ years of experience in model development, model validation, and/or quantitative analysis.
• Familiarity with one or more of the following areas of models: underwriting, loss forecast, asset liability management, FP&A, and BSA/AML.
• In-depth knowledge of statistical and machine learning modeling techniques and quantitative methods used in model validation.
• Proficiency in Python, SQL, and GitHub.
• Excellent technical writing and verbal communication skills.
• Strong organizational skills with the ability to prioritize and manage multiple projects simultaneously.

Responsibilities:

• Conduct independent model validation and provide a comprehensive effective challenge of models by partnering with model owners and developers.
• Write validation reports documenting the independent validation process including important observations, recommendations, and associated remedial actions.
• Develop and maintain effective working relationships with key stakeholders, ensuring effective communication and understanding of model validation findings.
• Review ongoing model performance monitoring reports to ensure satisfactory performance and suggest corrective actions where required.
• Monitor the remedial actions taken by model owners and developers to ensure model validation findings are addressed in a timely manner.
• Assist with regulatory exams and internal audits to address and prevent recurrence of identified gaps and deficiencies.