Senior Quantitative Analytics Professional

3 days ago

bhavnagar, India beBeeAnalytics Full time

Quantitative Analytics AssociateJob Description:We are seeking a highly skilled Quantitative Analytics Associate to join our team. 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 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. You should also be proficient in programming languages such as Python, R, SQL or SAS.Essential Job Functions:Perform hands-on quantitative model validation/review. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing, etc.Provide an effective challenge throughout the model validation/review 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 Skills and 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 (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 (e.g., from the OCC).Benefits:This is a challenging and rewarding role that offers opportunities for growth and professional development. If you are passionate about quantitative analytics and want to make a difference in the industry, we encourage you to apply.How to Apply:Please submit your resume and cover letter to us for review. We look forward to hearing from you

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