Cross - Sell Data Analyst at HUB International analyzing data for cross - sell opportunities in insurance services. Collaborating with teams to enhance cross - selling initiatives and reporting insights to producers.
About the role
- 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
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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