Lead Risk Model Validator

2 weeks ago

solapur, India beBeeQuantitative Full time

Senior Quantitative Analytics RoleYou will be responsible for leading independent validations and reviews of various risk models to ensure they function as intended, comply with regulatory requirements, and accurately identify, measure, and report risks to senior management.Key Responsibilities:Perform in-depth validations and reviews of new and existing models used across the bank, including those for fraud risk, compliance risk, and other areas.Conduct hands-on quantitative model validation/review, testing conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing.Provide an effective challenge throughout the model validation/review to ensure models are robust and all assumptions and limitations are justified.Present findings, weaknesses, and/or observations identified from the validation/review to model developers/owners and provide them with 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 and methodologies and assisting in the remediation of any audit or exam findings.Requirements:Mastery of a quantitative discipline and at least 3 years of relevant experience or Bachelor's degree 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 clearly articulate complex technical findings to both technical and non-technical stakeholders.Knowledge of model risk management policies, procedures, and relevant regulatory guidance.

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