Quantitative Risk Model Validation Position

5 days ago

davangere, India beBeeRisk Full time

Job Role: Quantitative Risk Model ValidatorYears of Experience: 6 to 15 yearsLocation: Bangalore, Hyderabad, Chennai, Pune, KolkataAbout The JobAs a Senior Quantitative Risk Model Associate, you will be responsible for leading independent validations and reviews of the bank's various risk models. This role ensures that models are functioning as intended, comply with regulatory requirements, and that their risks are accurately identified, measured, and reported to senior management.Key ResponsibilitiesPerform in-depth validation and review of quantitative models used across the bank, including those for fraud risk, compliance risk (such as AML, OFAC), and/or other areas.Test the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing.Provide an effective challenge throughout the validation/review process to ensure that models are robust and all assumptions and limitations are justified.Present findings, weakness, 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 that document 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.Required QualificationsMaster's degree in 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.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 and procedures.

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