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DataLend
DataLend provides financial institutions with aggregated, anonymized, cleansed and standardized securities finance data covering all asset classes,...
DataLend
DataLend provides financial institutions with aggregated, anonymized, cleansed and standardized securities finance data covering all asset classes, regions and markets globally.
General information
Firm type
other
Year founded
2013
AUM
Undisclosed
Location
Region
North America
Country
United States
City
New York
Corporate office
New York, NY, United States
Principals
Brian Lamb
Chief Executive Officer
Ken Degiglio
Chief Information Officer
Dan Dougherty
Global Head of Sales, CRM and Marketing
Paul Lynch
Global Head of Products
Laurence Marshall
Chief Operating Officer
Paul Nigrelli
Chief Financial Officer
Krista Otis
General Counsel & Secretary
Sector focus
Frequently asked questions
What is the give-to-get model and how does it affect DataLend's data quality?
DataLend requires every client to contribute their own securities finance transaction data. In return, clients receive access to the full aggregated dataset — cleansed, anonymized, and standardized. This creates a self-reinforcing data pool where breadth and accuracy improve as participation grows. It also makes the benchmarks harder for a competitor to replicate without securing similar buy-in from the industry's largest lenders and brokers.
How is DataLend related to EquiLend?
DataLend was initially built as the market data division of EquiLend, the securities finance technology platform founded in 2001 and collectively owned by major agent lenders, prime brokers, and asset managers. It was rolled out globally in 2013 and now operates as a standalone business within the EquiLend group. EquiLend's industry ownership structure provides DataLend with a direct data pipeline from the dominant players in securities finance.
What services does DataLend offer beyond the market data platform?
The firm provides four distinct services. The flagship market data platform delivers aggregated benchmarks across asset classes and regions. Client Performance reporting gives agent lenders tools to measure their own results against the industry. DataLend Portfolio serves beneficial owners with portfolio-level analytics. A bespoke reporting service handles custom data requests that fall outside the standard offerings.
Who are DataLend's primary users?
DataLend serves financial institutions active in securities lending — primarily agent lenders, prime brokers, and beneficial owners such as pension funds, insurers, and asset managers. Each client type contributes transaction data and uses the platform for different purposes, from benchmarking revenue and utilization rates to monitoring counterparty concentration and market share.
Which asset classes and regions does DataLend's data cover?
The firm's data covers all asset classes and spans all regions and markets globally, according to its public materials. Monthly revenue snapshots typically break out equities, fixed income, and other instruments, providing a comprehensive view of the securities lending market. The standardized taxonomy allows clients to compare performance across jurisdictions and instrument types.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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