Arcana builds analytics infrastructure for hedge funds and asset managers to decompose portfolio risk and surface alpha. The tech stack—React, Python, PostgreSQL, ClickHouse, Redshift, and Kinesis—reflects a data-intensive platform designed to handle institutional-scale datasets. Engineering and data teams dominate the hiring mix (18 of 23 active roles), while pain points center on data operations efficiency and pipeline scalability, suggesting the product is transitioning from MVP toward institutional reliability.
Notable leadership hires: Director of Engineering, Sales Director
Arcana provides portfolio intelligence tools for hedge funds and asset managers, enabling them to understand portfolio risk, decompose single-stock and book performance, and isolate crowding. The platform leverages proprietary datasets on crowding, ownership, and factor risk. Founded in 2022 and based in New York, Arcana operates across North America, EMEA, and APAC hiring. The product surfaces institutional investor needs around data quality, reconciliation, and real-time analytics performance, with active development across onboarding, risk modeling, and customer-facing dashboards.
Arcana uses React and Python for the application layer, PostgreSQL and ClickHouse for data storage, Redshift and EMR for analytics, and AWS services (Kinesis, Lambda, Glue) for pipeline orchestration. They also integrate Bloomberg and FactSet data feeds.
Arcana hires across the United States, United Kingdom, India, and China, reflecting a distributed engineering and data organization.
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Arcana'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.