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.

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
• Proficient in Python programming with strong skills in data cleaning/processing and debugging skills to identify, analyze, and resolve bugs efficiently.
• Additional programming experience in at least one of the following: R, MATLAB, SAS is an asset
• 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

WHO WE ARE:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

• 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.