Senior Quant Analytics Associate

2 weeks ago

tumakuru, India beBeeModelRiskManagement Full time

Quantitative Risk Model Validation ExpertAbout the Role:The successful candidate will lead independent validations and reviews of risk models, ensuring they function as intended and comply with regulatory requirements.Key Responsibilities:Perform hands-on quantitative model validation/review, including testing conceptual soundness, data accuracy, methodology, and ongoing performance.Provide a rigorous challenge throughout the model validation/review to ensure robust models with justified assumptions and limitations.Present findings, weaknesses, and/or 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 and methodologies and assisting in remediation of any audit or exam findings.Act as a subject matter expert on modeling techniques, risk management practices, and regulatory trends.Required Qualifications:Master's degree (or its equivalent) in a quantitative discipline and at least 3 years of relevant experience; or Bachelor's degree (or its 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 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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