Lead Risk Model Validator

4 days ago

anand, India beBeeQuantitative Full time

Model ValidationJob Overview: As a Senior Quantitative Analytics Professional, you will be responsible for leading independent validations and reviews of various risk models. This role ensures that models are functioning as intended, comply with regulatory requirements, and accurately identify, measure, and report risks to senior management.Main Responsibilities:Conduct hands-on quantitative model validation/review, including testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing.Provide effective challenges throughout the model validation/review to ensure robust models with justified assumptions and limitations.Present findings, weaknesses, and observations from the validation/review to model developers/owners and provide executable 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 and methodologies and assisting in remediation of audit or exam findings.Act as a subject matter expert on modeling techniques, risk management practices, and regulatory trends, performing research and developing advanced analytical tools or benchmarking models to aid the validation process.Requirements:Master's degree (or equivalent) in a quantitative discipline with 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 and AI/ML model development or validation with a strong understanding of quantitative modeling methods, including AI/ML algorithms used for various risk predictive models.Proficiency in programming languages such as Python, R, SQL, or SAS.Excellent written and verbal communication skills to articulate complex technical findings to technical and non-technical stakeholders.Familiarity with model risk management policies, procedures, and relevant regulatory guidance.

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