Lead Quantitative Model Validation

2 weeks ago

thoothukudi, India beBeeModel Full time

Quantitative Modeling Specialist As a Senior Quantitative Analytics 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. The ideal candidate will have a strong understanding of quantitative modeling methods, including AI/ML algorithms used for various risk predictive models, such as fraud risk, AML risk models, etc. Key Responsibilities:Perform hands-on quantitative model validation/review to ensure that models are robust, and all assumptions and limitations are justified.Provide an effective challenge throughout the model validation/review to ensure that models are functioning correctly.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 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. Requirements: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 (including AI/ML algorithms) used for various risk predictive models, such as fraud risk, AML risk models, etc.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 (e.g., from the OCC).],

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