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Pay Details:

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

*Department Description:

TD Model Validation (MV) group is responsible for the independent validation and approval of analytical models used for risk, pricing, hedging, and capital evaluation for portfolio of financial products. This also includes validation of decision-making models, such as credit approval and behavioral scoring models.

Job Description:

The successful candidate will be a member of the Non-Retail MV group covering both quantitative and qualitative models (i.e., Stress testing and Allowance). The position reports to the Senior Manager, Non-Retail Model Validation group within MV.

Detailed accountability includes:

• Validate non-retail credit risk models including but not limited to Stress testing (i.e., DFAST and EWST) and allowance Models (i.e. IFRS 9 and CECL) for the non-retail portfolios
• Design and implement validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practice or address regulatory and audit requirements and/or findings in a timely manner.
• Evaluate the conceptual soundness of the model methodology (i.e., Linear Regression, Logistics Regression, XGBoost, etc.), including the reasonableness of assumptions, reliability of inputs, and overall model specification and performance using statistical tests and business insights.
• Design, implement and maintain automation engines in Python, utilizing key libraries (i.e., Pandas, Scipy, Statsmodels, Matplotlib etc.) for data processing, analysis and modelling.
• Assess the suitability and comprehensiveness of performance metrics and risk measures to ensure the model's effective and reliable use.
• Evaluate and implement external models used for benchmarking internal model performance. Participate in model selection and related due diligence activity.
• Maintain/develop professional knowledge of techniques and developments in the field of quantitative analysis and share knowledge with business partners and senior management.

The position involves working effectively with different internal partners such as the Model Development (MD) Group, Internal Audit, etc.

Job Requirements :

• Robust quantitative skills with an advanced degree in one or more of the following areas: Financial Engineering, Mathematics, Statistics, Economics, Data Science, Computer Science, Physics & Engineering
• Advanced proficiency in Python, SQL, R, SAS.  Proficiency in leveraging AI-enabled tools to enhance productivity, support coding and data analysis, automate documentation, and streamline workflows.
• Familiarity with various statistical modelling techniques and ability to design/implement statistical tests
• Exposure or experience in credit risk modelling for C&I/CRE portfolios, allowance models and stress testing is desirable
• Understanding of stress testing and allowance model concepts and ability provide effective challenge is an asset
• Inquisitive nature, ability to ask the right questions and escalate issues. Risk & Control mindset
• Good time management and multitasking skills with minimal supervision
• Excellent ability to write comprehensive technical documents is required
• Excellent verbal and written communication skills.
• Experience in model development or validation is desirable

Language Requirement (Quebec only):