Company Description: About Company Bank Group The Toronto-Dominion Bank and its subsidiaries are collectively known as Company Bank Group (“Company” or “the Bank”). Company is the sixth largest bank in North America by branches and serves over 24 million customers in three key businesses operating in a number of locations in financial centres around the globe:   • Canadian Retail, including Company Canada Trust, Company Auto Finance Canada, Company Wealth, Company Direct Investing, and Company Insurance;   • U.S. Retail, including Company Bank, America's Most Convenient Bank, Company Auto Finance U.S., and an investment in Company Ameritrade; and   • Wholesale Banking, including Company. Company had CDN$1.1 trillion in assets on January 31, 2015. Company also ranks among the world’s leading online financial services firms, with approximately 9.7 million active online and mobile customers. The Toronto-Dominion Bank trades on the Toronto and New York stock exchanges under the symbol "Company". Department Overview: TDBG Retail Risk Valuation and Analysis (RRVA) department is responsible for measuring credit risk in all TDBG Canadian and US retail credit product portfolios (such as mortgages, home equity, indirect auto loans, credit cards, and small business loans). This entails developing, implementing, and monitoring account-level retail credit risk rating and parameter models (PD, EAD, and LGD); using these risk ratings and parameters to estimate and report the Risk-Weighted Assets (RWA) as required under the Basel II Retail Advanced Internal-Ratings Based (AIRB) approach, and the minimum regulatory capital and economic capital that the Bank needs to allocate against the credit risk in its retail product portfolios, both in Canada and in the US; forecasting credit losses, RWA and capital requirements under expected economic conditions and under various macroeconomic stress scenarios; estimating general allowance (GA) for expected loss for performing loans and specific appropriations (SA) for impaired assets. Our Basel II Retail AIRB models are designed to ensure that the Bank has appropriate provisions for expected losses and sufficient capital reserves for unexpected credit losses in its retail portfolios in case of a severe macroeconomic downturn. Job Type Regular Job Status Full Time Hours M-F Job Category Risk Management - Job Description In this position, the individual will be responsible for the development, initial validation, documentation, and supporting all stages of audit and implementation of account-level credit risk parameter models (PD, EAD, and LGD) for all TDBG Canadian and US retail real-estate secured credit product portfolios. These predictive models will serve as the basis for establishing default, exposure and loss related parameter estimates for use in calculating risk weighted assets (RWA) for TDBG Canadian and US retail real-estate secured credit exposures under the Basel II AIRB approach. They will also be used to calculate expected losses, general allowance, specific provisions, economic capital, and risk-adjusted profitability for the TDBG retail real-estate secured credit product portfolios, as well as expected credit losses and RWA under various macroeconomic scenarios included in the Bank’s internal and regulatory stress tests of TDBG retail real-estate secured credit product portfolios. This will entail extensive and deep interactions with TDBG Model Validation and Management, Internal Audit, and external auditors, as well as with the Bank’s Canadian (OSFI) and US (OCC and FED) banking regulators, in order to support their review and approval process for the risk parameter models. The position will ensure compliance with the TDBG Model Risk Policy, Capital Model Approval Policy, Data Governance requirements, and with other relevant policies and regulatory requirements. The position will also be responsible for updating / re-developing as required the models for TDBG retail real-estate secured credit product portfolios already reported under the IRB approach. The position will closely work with and actively support Company Canadian and US Retail Risk Management, as well as retail credit product and finance areas by providing a deep analysis of credit risk drivers and parameters under various scenarios for the respective Canadian and US retail real-estate secured credit product portfolios. This will entail discussing with the Canadian and US retail credit product, finance, and risk management areas key observations and conclusions derived from the data analysis and modeling, and assisting in their use to manage product portfolio risk and profitability. In this position, the individual will use leading-edge technologies and develop innovative solutions in the following areas:   • Data mining – making sense of some very large databases of credit risk related historical data;   • Predictive credit risk modelling based on rigorous statistical analysis of historical data, regression techniques, and econometric analysis;   • Estimating credit risk imbedded in the Bank’s retail credit product portfolios, and the amount of regulatory and economic capital the Bank needs to allocate against these portfolios. The individual will also be required to guide modeling analysts and co-op students on their journey to mastering statistical data mining. This position provides excellent learning, working and career opportunities in a highly professional and motivated team environment, and exposure to a variety of high-paced and intensive modeling projects and to a variety of internal and external stakeholders. Job Requirements: This position requires a combination of dedication, extremely hard work, and attention to detail, on one hand, and quick learning, creativity, and non-standard thinking, on the other hand. It also requires strong team and project management, communication, and presentation skills. In terms of technical skills and experience, this position requires a strong mathematical, statistical, and computer science background and an extensive data mining and statistical modelling experience. An ideal candidate will have an extensive retail credit risk management experience, including modeling and analytics; deep understanding of Canadian and/or US retail real-estate secured credit products and strategies; retail credit risk data, analytics, and modeling experience; and deep knowledge of Basel II requirements, including hands-on experience in developing and implementing Basel II Retail AIRB models. A successful candidate is expected to have:   • A university degree in Statistics or in a related quantitative discipline (Mathematics, Actuarial Science, Computer Science, Econometrics, Operations Research);   • Strong working knowledge and 3+ years extensive hands-on experience using SAS and SQL in the context of data manipulation, data mining, statistical analysis, and predictive modelling;   • Strong working knowledge and 3+ years extensive hands-on experience using the Data Warehousing Platform (DWP) and other internal and external data sources (such as product systems and credit bureau files); proficiency and extensive experience in creating and manipulating large data sets for data mining and predictive statistical modelling from various internal and external sources;   • Strong working knowledge of modern statistical model development and validation concepts and techniques, in particular linear and logistic regression techniques;   • 3+ years progressive work experience in the retail banking industry;   • Working knowledge of TDBG retail real-estate secured credit products, policies, and practices;   • Working knowledge of concepts and methodologies, such as retail credit risk scoring techniques, used in the assessment of credit risk for retail credit exposures;   • Working knowledge of concepts and methodologies used in the Expected Loss and Basel II IRB Capital calculations for retail credit exposures;   • A solid track record of successful development, initial validation, documentation, and implementation of predictive statistical models for long-run default, exposure and credit loss related parameter estimates for use in calculating Expected Loss and Risk Weighted Assets for retail credit exposures under Basel II;   • Working knowledge of the capital model approval policy and data governance requirements affecting Retail AIRB model implementation, and demonstrated ability to successfully satisfy these requirements;   • Strong leadership skills and demonstrated ability and willingness to teach, guide, and lead modeling analysts and co-op students;   • Strong problem-solving skills, ability to independently identify and solve problems in an effective and timely manner;   • Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives;   • Strong communication skills (both written and oral), ability to effectively present technical, business, and project management subjects to multiple stakeholders. Inclusiveness: At Company, 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, and creating an environment where every employee has the opportunity to reach her/his potential. Company is committed to providing accommodations. if you require an accommodation, we will work with you to meet your needs.