Full-stack ETF platform and advisory services for institutional fund managers
Tidal Financial Group operates a comprehensive ETF infrastructure platform spanning fund administration, trading operations, and distribution. The stack reveals a Microsoft-centric enterprise backbone (.NET, C#, Entity Framework Core, Azure AD) layered with financial data pipelines (Bloomberg, Snowflake, dbt, Kafka) and real-time trading infrastructure (SignalR, Redis). Active hiring is heavily skewed toward finance roles (13 of 18 posts), with senior-level dominance—indicating either rapid scaling of fund operations work or leadership buildout in compliance and trading, not engineering.
Tidal Financial Group provides end-to-end ETF platform services to institutional asset managers, covering launch strategy, fund administration, legal and compliance support, trading operations, and distribution. Founded in 2012 and headquartered in New York, the firm operates regional offices in Chicago, Milwaukee, West Palm Beach, and Detroit. The platform handles real-time data delivery, trading application backends, NAV calculation and oversight, and regulatory workflows. Client base appears to be mid-to-large asset managers seeking vertically integrated ETF operations support rather than point solutions.
Microsoft stack (.NET, C#, Entity Framework Core, Azure AD) for core platform; Bloomberg and Snowflake for financial data; Kafka, Redis, and SignalR for real-time trading; dbt and Python for analytics; OpenAI and LangChain for AI integrations; PostgreSQL and AWS Aurora for databases.
Trading application backend development, Bloomberg integration for operations, real-time data delivery via SignalR and Redis, NAV oversight and quality control, liquidity monitoring, ETF launch streamlining, and embedding AI tools into daily workflows.
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Tidal Financial Group'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 →
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