Independent Risk Model Validator

3 days ago

amravati, India beBeeModel Full time

Quantitative Analytics Associate Job DescriptionJob Summary:As a Senior Quantitative Analytics Associate, you will lead independent validations and reviews of risk models to ensure they are functioning as intended and comply with regulatory requirements. This involves hands-on quantitative model validation/review, including testing conceptual soundness, data accuracy, methodology, and ongoing performance through backtesting, benchmarking, and stress testing.Key Responsibilities:Perform thorough quantitative model validation/review, including conceptual soundness, data accuracy, methodology, and ongoing performance evaluation via backtesting, benchmarking, and stress testing.Conduct an effective challenge throughout the model validation/review to ensure models are robust and assumptions/limitations are justified.Present findings, weaknesses, and/or observations identified from the validation/review to model developers/owners, along with executable finding remediations.Document detailed validation reports and memos that outline the validation approach, findings, and conclusions.Participate in internal audits and regulatory exams by presenting validation results and methodologies, and assist in the remediation of any audit or exam findings.Serve as a subject matter expert on modeling techniques, risk management practices, and regulatory trends, involving research and development of advanced analytical tools or benchmarking models to aid the validation process.Required Skills and Qualifications:A Master's degree (or equivalent) in a quantitative discipline and at least 3 years of relevant experience; or a Bachelor's degree (or 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.Benefits:Opportunity to work with advanced analytics tools and technologies.Chance to develop expertise in risk management and model validation.Collaborative environment with experienced professionals.Others:Professional growth and development opportunities.Competitive compensation package.

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