Global asset manager with $1.5T in affiliated AUM across multi-affiliate structure
Natixis Investment Managers operates a distributed multi-affiliate model connecting independent investment teams across asset classes and geographies, currently ranked 19th globally by AUM. The tech stack is enterprise-heavy (Workday, Salesforce, Power BI, Azure DevOps, AWS) with finance and sales dominating active hiring, while active projects cluster around operational efficiency—month-end close automation, KYC streamlining, and liquidity estimation—suggesting operational scaling is outpacing current infrastructure.
Notable leadership hires: Regional Director
Natixis Investment Managers is an investment management firm headquartered in Boston serving institutional and private-wealth clients across equities, fixed income, alternatives, and ESG strategies. The firm manages or services $1.553 trillion in assets across more than 15 affiliated entities as of December 31, 2025. Operations span Boston, France, United Kingdom, and Singapore, with a workforce of 201–500 employees structured around finance, sales, legal, and compliance functions. The firm emphasizes tailored investment solutions and independent manager expertise within a coordinated group structure.
Natixis Investment Managers' affiliated entities held $1.553 trillion in assets under management as of December 31, 2025, including assets managed or serviced across more than 15 independent managers.
Core systems include Workday (HR), Salesforce (CRM), Power BI and Tableau (analytics), Bloomberg and FactSet (market data), AWS infrastructure, and Microsoft Office automation tools (Power Query, Power Automate, Azure DevOps).
Natixis Investment Managers'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.