Applied Machine Learning Scientist I
| Company | TD Bank |
|---|---|
| Location | Montreal, QC, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Degree in Actuarial Science, Statistics, Mathematics, or a related field.
- Five (5) or more years relevant experience
- Excellent verbal and written communication skills, with the ability to explain complex policies and procedures clearly.
- Experience in developing standardized workflows and processes to support compliance and governance.
- Strong understanding of model lifecycle management (e.g., development, validation, implementation, and monitoring).
- Strong organizational skills to manage multiple tasks and deadlines.
- Excellent problem solving, analytical, and strategic thinking skills, with the capability to remove obstacles and recommend implementable solutions.
- Proven ability to collaborate effectively with cross-functional teams such as MRM/MV and COMO; facilitate alignment on governance requirements.
- Skill in using Microsoft office such as Word, Excel, PowerPoint; knowledge of data analytical tools is an asset.
- A proactive approach to process improvement and identifying best practices for compliance.
Responsibilities
- Facilitate discussions and ensure all stakeholders clearly understand the policies, procedures and standards established by Enterprise Model Risk Management (‘MRM’) and Compliance Oversight of Models Office (‘COMO’), etc.
- Establish uniform processes and templates to ensure consistency across all model-related activities.
- Define and maintain clear rules for variable usage and ensure all modelling teams consistently follow the established glossary.
- Maintain the model inventory and ensure traceability and accessibility of model-related records for governance purposes.
- Support modelling teams in preparing prepopulated documents for submission and ensure that the governance components of model documents align accurately with model inventory.
- Assist modelling teams in creating a checklist for each project to ensure all necessary steps are completed and timelines are followed.
- Establish regular touchpoints with all modelling teams to communicate the current review status and ensure awareness of upcoming submissions.
- Provide guidance to modelling teams by regularly sharing expertise and participating in knowledge transfer activities.
- Manage relationships within and across various business lines and ensure alignment with enterprise requirements.
- Prioritize work based on emergencies and business impacts.
Preferred Qualifications
- Prior experience in an insurance company or with model risk governance frameworks is preferred.