Senior Quantitative Analyst

5 days ago

bhavnagar, India beBeeQuantitative Full time

Role Overview:We are seeking a highly skilled Senior Quantitative Analyst to join our team. In this role, you will be responsible for leading the validation and review of our risk models.Your primary objective will be to ensure that these models are functioning as intended, meet regulatory requirements, and accurately identify, measure, and report risks to senior management.The successful candidate will possess in-depth knowledge of quantitative modeling methods, including AI/ML algorithms used for various risk predictive models.You will also have expertise in programming languages such as Python, R, SQL or SAS, and excellent written and verbal communication skills to articulate complex technical findings to both technical and non-technical stakeholders.This is an exciting opportunity for an experienced professional to make a significant impact on our organization's risk management practices.Key Responsibilities:Perform hands-on quantitative model validation/review, testing conceptual soundness, data accuracy, methodology, and ongoing performance.Provide effective challenge throughout the model validation/review to ensure models are robust and assumptions justified.Presents findings, weaknesses, and observations identified from the validation/review to model developers/owners.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.Required Qualifications:Masters degree (or equivalent) in quantitative discipline with at least 3 years relevant experience; or Bachelors degree (or equivalent) with at least 5 years relevant experience.Hands-on experience in statistical and AI/ML model development or validation with strong understanding of quantitative modeling methods.Proficiency in programming languages such as Python, R, SQL or SAS.Excellent written and verbal communication skills.Knowledge of model risk management policies, procedures, and relevant regulatory guidance.

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