Lead Quantitative Analytics Validation Specialist

1 week ago

india beBeeQuantitative Full time

Quantitative Analytics SpecialistAssume a leadership role in the validation and review of risk models to ensure they function as intended, comply with regulations, and accurately identify risks.About the JobA senior quantitative analytics specialist will be responsible for performing thorough validations and reviews of new and existing models used across the organization. This includes models for fraud risk, compliance risk (such as AML, OFAC), and other areas.Conduct hands-on quantitative model validation/review, testing 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 models are robust and assumptions/limitations are justified.Present findings, weaknesses, and observations identified from the validation/review to model developers/owners and provide executable remediations.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 and assisting in the remediation of any audit or exam findings.Act as a subject matter expert on modeling techniques, risk management practices, and regulatory trends, performing research and developing advanced analytical tools or benchmarking models to aid the validation process.Required Skills and QualificationsMasters degree in a quantitative discipline with at least 3 years relevant experience; or bachelors degree with at least 5 years relevant experience.Hands-on experience in statistical and AI/ML model development/validation with a strong understanding of quantitative modeling methods used for various risk predictive models.Proficiency in programming languages such as Python, R, SQL, or SAS.Excellent written and verbal communication skills to articulate complex technical findings to both technical and non-technical stakeholders.Knowledge of model risk management policies, procedures, and relevant regulatory guidance.BenefitsThis role offers opportunities for professional growth and development in a challenging and dynamic environment.OthersPlease note that this job requires a high level of expertise and experience in quantitative analytics and risk management.

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