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 Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly diverse equity research franchise, while growing our strong, diversified investment bank. We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day. OVERVIEW Within TD Securities, the Quantitative Modeling and Analytics (QMA) team is responsible for the valuation models for the Global Fixed Income, Currencies, and Commodities businesses. The models are used for the intraday and official valuations of a wide range of financial products, and the model outputs feed numerous downstream processes, including VaR, regulatory reporting, stress testing, and liquidity reporting. The QMA team works closely with front office trading and sales to deliver on their risk management, valuation and quantitative strategy needs. Moreover, the QMA team partners with Technology teams to build out the official and intraday valuation systems and support the integration of models into downstream processes. QUALIFICATIONS We are looking for a highly motivated quantitative specialist with 3-5 years' experience to work alongside our US Securitized products business. The successful candidate will focus on development, testing, and support of the valuation models for non-agency mortgages products. The initial focus will be supporting the launch of trading capabilities for non-agency mortgages, followed by the securitization of this product. In addition, the ideal candidate will provide quantitative strategist support for the front-office, through the development, refinement and management of front-office tools, and timely support for trading issues. This role requires a strong business and technical foundation in non-agency markets, and experience in working as a quantitative strategist for the front office. The role requires a deep knowledge of Interest Rate Models, Prepayment and Credit/Loss models in addition to advanced C++ and Python programing skills. Moreover, familiarity with YieldBook or PolyPaths would be a plus. The VP Technology Solutions TDB understands business products, business strategies and customer usage of products with ability to translate content into a IT architecture that describes key functional and non-functional requirements. Responsibilities include familiarity with business strategy I processes and expertise in designing business solutions that link disparate processes and application systems, ability to communicate a deep understanding of the business and a broad knowledge of technology and applications, design the target application I services architecture and assess the impact of the future business architecture on existing and future applications, identify the techniques and technologies that should be applied at the application level, defining the information architecture in compliance with corporate policies and standards, and working with business partners and technology teams to define the organization, storage and flow of data to support effective information delivery.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees