Senior Quantitative Analytics Associate leading independent validations and reviews of various risk models. Engaging in detailed validation and regulatory compliance efforts for KeyBank's model risk management.
Responsibilities
leading independent validations and reviews of the bank's various risk models
ensuring models comply with regulatory requirements and identify, measure, report risks to senior management
performing in-depth validations and reviews of new and existing models across the bank
testing model's conceptual soundness, data accuracy, methodology, and performance through techniques like backtesting, benchmarking, and stress testing
presenting findings and providing executable finding remediations
preparing detailed validation reports and memos documenting validation approach, findings, and conclusions
participating in internal audits and regulatory exams by presenting results and methodologies
acting as a subject matter expert on modeling techniques and risk management practices
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.
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
eligibility for incentive compensation subject to individual and company performance
eligibility for short-term incentive compensation
deferred incentive compensation subject to individual and company performance
flexible options in circumstances where roles can be performed effectively in a mobile environment
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