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Associate Vice President – Retail Model Validation – Risk Management
| Company | TD Bank |
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| Location | Toronto, ON, Canada |
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| Salary | $145000 – $200000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- High level of quantitative expertise, with at least 5 years of validation or model development experiences in retail capital (RWA, Allowance) and retail credit scoring and stress testing models
- Experienced in providing independent advice and quantitative support on retail model issues
- Having at least 3 years of experiences in leading and developing a large team of subject matter experts on similar models
- A Strong communicator for explaining complex models and risk issues to diverse stakeholders
- Adept at making balanced decisions on time and executing against demand timelines
- Able to anticipate and address changes in regulatory standards or industry practices
Responsibilities
- Accountable for Primary 2nd Line of Defense for validation and approval of the following Retail models: Canadian retail risk capital models, that includes parameter models, aggregate Allowance and stress testing models, Retail PPNR models for EWST/MST/DFAST programs, Marketing models
- Develop and build a validation team to provide 2nd LOD effective challenge and high-quality validations for a variety of models
- Establish and continually enhance the Model validation approaches and model development guidelines to the 1st line
- Responsible for periodic review and update of Model Validation testing procedures
- Responsible for ongoing maintenance and enhancements of automated validation testing tools for retail models
- Engage, partner and influence various model stakeholders to effectively identify, control / mitigate model risk
- Challenge to model owners, model users, and model developers
- Understand, mitigate and respond to regulatory inquiries
- Create an environment that drives a high level of performance to build capability across the team
- Engage externally to leverage insights and regulatory developments to identify, evaluate and implement best practices in model validation
Preferred Qualifications
No preferred qualifications provided.
