Quantitative Analytics Manager responsible for model validation across the bank's services. Leading validation efforts to ensure compliance with regulatory standards and effective communication with stakeholders.
Responsibilities
Lead the independent validation of predictive and machine-learning models used across the bank
Perform hands-on model validation on the bank’s critical high-risk models
Manage and lead some of the quantitative validation/review projects by partnering with junior validators
Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions
Build and maintain effective relationships with model owners and various stakeholders
Requirements
Master’s degree in a quantitative discipline and at least 5 years of relevant experience; or Bachelor’s degree and at least 6 years of relevant experience
Substantial hands-on experience in quantitative (including AI/ML) model development or validation on various risk predictive models
Proficiency in programming languages such as Python, R, SQL or SAS
Proven ability to lead teams, manage multiple projects, and effectively communicate technical findings to both technical and non-technical audiences
Excellent written and verbal communication skills
Benefits
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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