Modelling / Forecasting Senior Analyst (Quants) at TD

Job Title and Overview

Modelling / Forecasting Senior Analyst (Quants)
Location: Toronto, Ontario, Canada
Contract: Full-time, on site
Hours: 37.5
Line of Business: Analytics, Insights, & Artificial Intelligence

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.

Department Overview

The Model Validation (MV) group is a centralized model risk management function within the Bank. The MV team is responsible for the vetting and approval of complex mathematical and statistical models used in credit lending, business operations, and stress testing. By ensuring an objective and independent evaluation of models, the model validation function is critical to the effective measurement and management of risk across the TD Bank Group.

Job Description

• Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for a variety of purposes, including scoring credit risk (acquisitions and account management) and Economic and Regulatory Capital (e.g. Probability of Default, Exposure at Default, Loss Given Default), conducting stress testing, detecting fraud behaviors, marketing retail products, and projecting Pre-Provision Net Revenue (PPNR). These models may use traditional statistical methodologies and/or AI/ML approaches.
• Develop independent benchmarks for use in the validation of the models listed above. These benchmark models could be traditional supervised learning methods, unsupervised learning, or machine learning algorithms.
• Assess the appropriateness of the model for its specific use, reasonableness of the model assumptions and the accuracy of the model implementation.
• Prepare detailed reports describing the mathematical underpinnings of the model, validation techniques employed, test results obtained, and any model limitations noted.
• Prepare management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
• Establish and maintain productive working relations with internal model development groups and external vendors who have developed customized models for TD.
• Play a key role in ensuring the appropriate use of risk models.
• Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
• Stay current in knowledge of credit risk management methodologies, predictive modeling, and statistical analysis.

Requirements and/or qualifications

• Strong statistical background and excellent analytical and problem-solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science, or engineering.
• Experience with predictive model development, credit scoring, and/or AI/ML modeling.
• Hands-on experience with Python for statistical analysis and modeling or SAS is a must (Python preferred).
• Familiarity with retail banking products, customer behaviors, and credit risk management is a definite asset.
• Experience with liquidity forecasting and liquidity stress testing models is a major plus.
• Familiarity with AI productivity tools such as Microsoft Copilot and GitHub Copilot is a plus.
• Excellent verbal and written communication skills.
• Good time management and multitasking skills.
• Quick learner who grasps new concepts and techniques quickly.
• Must be a good team player.
• Specific Educational Requirements / Accreditations: Graduate degree in Statistics, Actuarial Sciences, Econometrics, Computer Science, or other quantitative fields.
• 2+ years relevant experience.

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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined exec