Global credit asset manager with $24B AUM across private and public markets
Marathon Asset Management is a credit-focused asset manager running dual investment platforms—private credit (direct lending, asset-based lending) and public credit (high yield, leveraged loans, emerging markets). The tech stack is finance-traditional (Bloomberg, VBA, Tableau, Salesforce) with emerging data infrastructure (Python, Spark, AWS/Azure/GCP) and RPA tooling (UiPath). Active hiring is finance-heavy (14 finance roles vs. 2 data), and projects center on enterprise data platform modernization, deal-flow generation, and sponsor coverage—signaling internal scaling constraints around pipeline management and capital formation workflows.
Marathon Asset Management is a registered global asset manager founded in 1998 with $24B in assets under management. The firm specializes in credit markets across private credit (direct lending, asset-based lending, opportunistic credit) and public credit (high yield, leveraged loans, CLOs, emerging markets, structured credit). Clients include institutional investors such as pension plans, sovereign wealth funds, endowments, insurance companies, and family offices. The firm operates from five offices (New York, London, Luxembourg, Miami, Los Angeles) with 190 professionals and is regulated by the SEC and UK Financial Services Authority.
Marathon Asset Management manages $24B in assets under management, with investment programs focused on private and public credit markets.
Marathon's tech stack includes Bloomberg, VBA, Python, AWS, Azure, GCP, Spark, Tableau, Power BI, Salesforce, and UiPath. The firm is building enterprise data infrastructure alongside traditional finance tooling.
Marathon Asset Management'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.