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Retail Risk Management is responsible for the development and execution of risk strategies and initiatives that assist our key business partners in achieving growth and profitability while maintaining the overall risk quality of lending portfolios. As part of RRM, the Credit Risk Forecasting and Analysis team is responsible for Credit Loss Allowance across all Retail product portfolios. The mandate includes ownership of consolidated credit loss reporting, allowance forecasting and oversight of the Expected Loss models used for IFRS9 allowance, and analysis and insight on loss performance to ensure sufficient reserve set aside for Canadian Retail exposures.
The primary function of this position includes performing IFRS 9 Expected Credit Loss (ECL) Analysis and Forecasting for TD Canadian Retail Credit Products. The position works closely with Retail Risk Management, Retail Model Development, Model Monitoring, and several internal and external partners with the following key accountabilities: \u2022 Lead the comprehensive ECL analysis for Retail Products, including attribution of key drivers, variable impact, and explanation of variances to inform management decision to ensure risks are only being taken that we understand \u2022 Develop and maintain credit loss estimate techniques to support key ECL methodology development \u2022 Support the ECL forecasting and planning methodology, including refining the methodology \u2022 Work with our Risk Management and Product partners to research and develop value added analysis \u2022 Support all Risk business partner inquiries pertaining to ECL analysis \u2022 Support the management adjustment process, a key process in the ECL reporting and forecasting \u2022 Identify anomalies and recommend a course of action, identify problems and spot trends with explanations. \u2022 Establish, maintain, and improve the management review and governance control framework \u2022 Continue improving the BAU processes to support of IFRS9 reporting \u2022 Ensure adequate controls are in place to meet audit and accuracy standards
Job Requirements \u2022Post-secondary degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science and Engineering would be an asset \u2022Knowledge in retail banking products, allowance calculation, predictive model and forecasting is a definite asset \u2022Excellent working knowledge and hands-on experience using SAS and SQL in the context of data manipulation, data mining, and analysis \u2022Demonstrated strong analytical, and problem-solving skills \u2022Excellent verbal and written communication skills \u2022Solid time management, organizational and multi-tasking skills \u2022Able to learn new concepts and techniques quickly \u2022Advance skills in Excel, Word, and PowerPoint \u2022Must be a good team player
Inclusiveness At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.