Private markets portfolio management platform for institutional investors
AssetMetrix operates a data and workflow platform for private capital portfolio management, serving asset owners, managers, and administrators across Europe. The stack reveals a mature, operationally-focused engineering approach: SimCorp Dimension (institutional standard), SQL Server + PostgreSQL + ClickHouse for analytics, Kubernetes + OpenShift for deployment, and Python + Go for automation. The hiring mix—five support roles and two ops roles against one engineering hire—signals a company scaling customer success and operational efficiency rather than building new features; this aligns with their project focus on onboarding workflows, control automation, and administrative burden reduction.
AssetMetrix is a private markets Technology-as-a-Service provider headquartered in Munich, serving institutional investors managing private capital portfolios. The platform consolidates data management, analytics, reporting, and investor workflows in a single environment, with particular depth in fund administration, portfolio analytics, and back-office operations. Founded in 2013, the company supports institutional clients across Europe, combining domain expertise in alternative investments with an integrated technology backbone. Current operational priorities center on streamlining onboarding, automating control and deployment workflows, and reducing manual administrative burden—reflecting typical friction points in mid-market and enterprise private markets operations.
SimCorp Dimension, SQL Server, PostgreSQL, ClickHouse, Python, Go, Kubernetes, OpenShift, Ansible, and Salt. The architecture spans institutional-grade portfolio systems through relational and analytical databases to containerized deployment and infrastructure automation.
Headquartered in Munich, Germany. Current hiring is concentrated in Germany, with recent roles in support, finance, ops, and engineering across mid-level and senior positions.
Active projects include streamlining onboarding workflows in alternative investments, automating control and deployment processes, optimizing schema design and capacity planning, building internal tools and open-source integrations, and creating consolidated reporting for fund statements and quarterly performance.
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