Corporate and investment bank for capital markets and transaction banking
TD Securities is a Toronto-based corporate and investment bank whose stack pairs trading and post-trade systems (Murex, Fidessa, Broadridge, DTCC, Swift, ISO 20022) with an Azure-centered AI layer including OpenAI, RAG and Azure Machine Learning. Hiring is accelerating and finance-heavy with strong VP and director representation, while job posts cluster around operational risk, trade break reconciliation and monetizing proprietary data.
Notable leadership hires: Delivery Director, Head of Data Management
TD Securities provides capital markets and investment banking services to corporate, government and institutional clients. Its offering spans underwriting and distribution of new issues, advisory, research and strategy, market risk management, and treasury and transaction banking. The firm is a public company headquartered in Toronto, Ontario, with 5,001–10,000 employees. It acquired Cowen Inc. in 2023, adding U.S. equities and equity research capabilities. Current hiring spans the United States, Canada, the United Kingdom, Singapore and China.
TD Securities uses trading and post-trade tools like Murex, Fidessa, Broadridge, DTCC and Swift, analytics in Python, Tableau, Power BI and Alteryx, and cloud on Azure, AWS and GCP, plus OpenAI and Azure Machine Learning.
Job posts point to data product development, QIS platform expansion, TDGF regulatory reporting, a liquidity product suite roadmap, forecasting models and new equity research coverage reports.
TD Securities is hiring in the United States, Canada, the United Kingdom, Singapore and China, with hiring velocity accelerating and finance, operations and research leading demand.
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TD Securities's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.