Canadian investment dealer managing $45B+ in assets for high-net-worth clients
Wellington-Altus is a top-rated Canadian investment dealer (501–1,000 employees, Winnipeg-based) managing $45 billion in assets under administration. The tech stack is heavily Microsoft-centric (Azure, Envestnet, Power BI, Intune) with Bloomberg and legal research tools, indicating a wealth-management operation built on enterprise infrastructure. Active projects span trading platform development, AI-driven client communication, and process improvements around external transfers and discretionary trading—paired with hiring acceleration in finance and ops roles—suggesting investment in both product modernization and operational scaling to handle compliance and trade execution complexity.
Wellington-Altus provides holistic wealth advice, private investment services, and financial planning to high-net-worth clients across Canada. Founded in 2017, the firm operates as a multi-office dealer with $45 billion in assets under administration, positioning itself toward successful entrepreneurial advisors. The business model centers on white-glove service for private wealth clients, supported by trading infrastructure, compliance systems, and advisor relationship management. Current operational priorities include upgrading the trading platform, integrating new advisors, and reducing operational friction in areas like client transfers, trade execution, and compliance workflows.
Core platform built on Microsoft Azure infrastructure (virtual machines, storage, virtual desktop) with Envestnet for wealth management, Bloomberg for market data, Power BI for analytics, and DocuSign for document workflows. Legal research powered by LexisNexis and Westlaw.
Winnipeg, Manitoba, Canada. All active hiring is Canada-based. The firm operates offices across the country.
Wellington-Altus'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.