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Senior Quantitative Analytics Associate

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Model Validator Job SummaryThis role involves leading validations and reviews of the bank's risk models. The goal is to ensure that these models are working as intended, comply with regulatory requirements, and accurately identify, measure, and report risks.Perform in-depth model validation/review involving testing of conceptual soundness, data accuracy, methodology, and ongoing performance through backtesting, benchmarking, and stress testing.Provide an effective challenge throughout the model validation/review to ensure that models are robust and assumptions/limitations are justified.Present findings and observations to model developers/owners and provide executable finding remediations.Prepare detailed validation reports and memos documenting the validation approach, findings, and conclusions.Participate in internal audits and regulatory exams by presenting validation results/methodologies and assisting in audit/exam findings remediation.Act as a subject matter expert on modeling techniques, risk management practices, and regulatory trends.Required QualificationsMaster's degree (or equivalent) in quantitative discipline and at least 3 years of relevant experience; or Bachelor's degree (or equivalent) and at least 5 years of relevant experience.Hands-on experience in statistical/AI/ML model development/validation with strong understanding of quantitative modeling methods (including AI/ML algorithms).Proficiency in programming languages such as Python, R, SQL, or SAS.Excellent written and verbal communication skills to clearly articulate complex technical findings to stakeholders.Knowledge of model risk management policies/procedures and relevant regulatory guidance.