Alternative investment firm managing $38.5B in credit and mortgage assets
Bayview is a $38.5B alternative investment firm with deep roots in mortgage and consumer credit, operating a dual-engine model: an asset management division paired with affiliated loan origination and servicing businesses. The tech stack (Python, C#, SQL Server, Alteryx, Power BI, Tableau, SAS, Stata) reflects a quant-heavy finance operation, and active projects around enterprise AI governance, loan-level data reporting, and post-closing workflows signal a push to automate and systematize operations at scale. Hiring velocity is accelerating across engineering (28 roles) and data (8 roles), with senior-level dominance (33 of 71 open positions), suggesting Bayview is scaling technical depth rather than entry-level capacity.
Notable leadership hires: Chief of Staff
Bayview Asset Management invests in residential, consumer, and commercial credit across whole loans, asset-backed securities, mortgage servicing rights, and structured products. Founded in 1993 and headquartered in Coral Gables, Florida, the firm manages $38.5 billion in assets under management as of December 31, 2025. It operates with over 1,980 employees across asset management offices in New York, London, Luxembourg, and Geneva, plus loan servicing and origination affiliates in the U.S. and Milan, Italy. The business model benefits from integrated access to origination and servicing data, analytics, and sourcing capabilities that inform investment decisions across market cycles.
Python, C#, SQL Server, Alteryx, Power BI, Tableau, SAS, Stata, React, ASP.NET, Azure DevOps, Jira, Workday, and DocuSign. The stack emphasizes quantitative analysis and enterprise data visualization.
Active projects include implementing PAM solutions, building enterprise AI governance capabilities, assessing emerging AI technologies, developing trading and research front-office applications, and automating loan-level data reporting and post-closing operational workflows.
Bayview Asset Management, LLC'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.