Credit Portfolio Analyst

• Report to the Mortgage Lending Risk Manager to monitor and manage the Retail mortgage lending credit cycle
• Partnering with key stakeholders to oversee the entire lifecycle of retail credit risk loss forecasting models for the residential mortgage portfolio from development and validation to ongoing performance monitoring, recalibration, and documentation
• Ensuring models are fit for purpose, accurate, and comply with internal and external requirements
• Conducting in-depth quantitative analysis of large datasets related to mortgage performance, identifying trends, assessing portfolio health, and informing model enhancements
• Preparing comprehensive reports and presentations on model performance, forecasts, and key risk indicators for various stakeholders, including senior management and regulatory bodies
• Ensuring all model activities and policy frameworks adhere to internal governance standards, regulatory requirements (e.g., Basel, IFRS 9), and industry best practices
• Collaborating with internal audit and compliance teams to ensure adherence
• Participating in the review, development, and implementation of retail credit risk policies, particularly those pertaining to residential mortgages
• Preparing and monitoring key and ad hoc MIS on mortgage credit risk management
• Escalating credit concerns/updates to Mortgage Lending Risk Manager and proposing risk mitigation actions

• Bachelor or post-graduate degree in Business, Statistics, Data Science or other related quantitative disciplines
• Minimum 2-3 years of experience in credit risk analysis in Mortgage Lending products with solid understanding of retail credit risk concepts, products, and processes, particularly within residential mortgages
• Demonstrated strong analytical and quantitative skills with proficiency in statistical modeling software (e.g., SAS, R, Python) and large dataset manipulation
• Data mining and MS Word/Excel/Access/Power-Point is a basic
• Experience in model validation, performance monitoring, and model documentation
• Proven experience in managing, developing, or validating IFRS 9 impairment models, specifically for mortgage portfolios, is recommended
• Knowledge and practical experience with Climate Risk loss forecasting methodologies and their application in a financial institution context, would be an advantage
• Ability to translate complex analytical findings and policy requirements into clear, concise, and actionable insights for diverse audiences
• Excellent communication skills, both written and verbal, for presenting technical information and policy recommendations
• Good communication, interpersonal skills and possess certain positive leadership skills/potential (e.g., take ownership, strong risk culture, ability to work independently etc.)

Knowledge and practical experience with Climate Risk loss forecasting methodologies and their application in a financial institution context

• Access to telehealth options, health advocates, confidential counseling
• Expanded Paid Parental Leave Policy
• Access to an array of learning and development resources
• Generous paid time off packages
• Tools to volunteer in the community