Institutional real estate investment firm with $62B AUM across North America and Europe
Affinius Capital is a 40-year-old real estate investment and credit firm managing $62 billion in assets across equity, debt, and development deals. The tech stack reveals a finance-heavy, data-mature organization: Python + Airflow + Redshift on AWS form a data-pipeline backbone, paired with Power BI for reporting and Workiva for compliance workflows. Hiring is concentrated in finance and data roles with senior and VP-level openings, signaling both operational scaling and leadership expansion in investor reporting and portfolio analytics.
Affinius Capital operates as an integrated institutional real estate investment platform, providing equity and credit to institutional clients, co-investors, and development partners across North America and Europe. The firm manages diversified holdings spanning data centers, logistics, and commercial real estate, with a 40-year operating history. Operations span multiple fund administrators and geographies, requiring centralized reporting, capital-call processing, and investor-diligence workflows. The company employs 201–500 people across finance, data, legal, and security functions from headquarters in San Antonio, Texas.
Python, pandas, dplyr, Apache Airflow, Amazon Redshift, AWS, Power BI, Workiva, ServiceNow, and Microsoft 365 security stack (Defender, Sentinel, Purview). Azure complements AWS for hybrid cloud.
Yes. Active hiring includes 1 data role plus 7 finance positions. Seniority mix spans senior, junior, and intern levels, with 2 VP-level openings across the organization. All roles are US-based.
Active projects include quarterly investor reporting, CAM reconciliation automation, portfolio reporting enhancements, AI-enabled DDQ workflows, RFP/DDQ response database development, capital call processing, and SOC 1 compliance.
Affinius Capital'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.