Investment management and risk modeling for insurers and institutional investors
Conning manages assets for insurance companies and institutional investors, pairing investment services with risk modeling software and research. Its stack is heavily Microsoft-centric: Azure, Sentinel, Defender, Entra and Purview alongside CyberArk, Varonis and Tenable point to a security- and governance-first IT posture. Current hiring is limited and tilted toward data and risk, consistent with work on master data management and enterprise data quality.
Conning is a Hartford, CT-based investment management firm founded in 1912, focused on insurance companies and other institutional investors. It offers investment solutions, risk modeling software, and industry research, with specialties spanning liability-driven investing for pensions, investment accounting, and reporting. The privately held firm employs 201–500 people, operates investment centers across Asia, Europe and North America, and is part of Generali Investments. Its portfolio operations run on SimCorp Dimension and Bloomberg, with Power BI, SQL Server and Python supporting analytics.
Conning uses SimCorp Dimension, Bloomberg, Power BI, Python, SQL Server and Oracle SQL, on Azure infrastructure with Microsoft security tools like Sentinel, Defender and Entra, plus CyberArk, Varonis and Tenable.
Conning is headquartered in Hartford, Connecticut, and has investment centers in Asia, Europe and North America. Current hiring is focused in the United States.
Projects include the Conning360 institutional solutions portal, automated data pipelines for a pension LDI tracker, master data management, an enterprise data taxonomy, and an enterprise risk management framework.
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Conning'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.