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EquiLend and Credit Benchmark partner
17 June 2026 US
Image: supattra/stock.adobe.com
EquiLend and Credit Benchmark have partnered to integrate Credit Benchmark's consensus credit ratings into EquiLend's Onboard+ platform.
The integration shows Credit Benchmark's consensus rating for each fund, including the number of institutions contributing to that rating, alongside existing onboarding data fields.
The added context gives operations, credit, and front office users a clearer view of how the broader market rates a given fund — particularly for funds where official agency ratings are not available — and a reference point against which to evaluate internal ratings.
Simon Waddington, head of Post-Trade & Regulatory Solutions at EquiLend, says: “Onboard+ is designed to make counterparty onboarding faster and more transparent for the securities finance industry and embedding Credit Benchmark's consensus data is a natural extension of the platform.
“Our clients have asked for richer credit context within the platform, and this integration delivers it without adding workflow steps, helping to enhance their RWA management and ability to prioritise specific funds.”
Credit Benchmark's consensus ratings are derived from internal credit risk views contributed by leading global financial institutions, providing a market-wide perspective that is already used by many of the largest banks and asset managers.
By embedding that data into Onboard+, EquiLend clients can prioritise counterparty and fund onboarding decisions more efficiently and assess where their firm's view sits relative to peers, all without leaving the platform.
Commenting on the partnership, Mark Faulkner, co-founder, Credit Benchmark, adds: “Onboard+ is becoming a standard reference point for counterparty workflow in the securities finance market, and bringing Credit Benchmark's consensus data into that workflow puts an institutional credit lens directly where decisions are being made.
“Our data is already used by many of the largest banks and asset managers and making it natively available inside Onboard+ accelerates adoption and makes day-to-day onboarding decisions more informed.”
The integration shows Credit Benchmark's consensus rating for each fund, including the number of institutions contributing to that rating, alongside existing onboarding data fields.
The added context gives operations, credit, and front office users a clearer view of how the broader market rates a given fund — particularly for funds where official agency ratings are not available — and a reference point against which to evaluate internal ratings.
Simon Waddington, head of Post-Trade & Regulatory Solutions at EquiLend, says: “Onboard+ is designed to make counterparty onboarding faster and more transparent for the securities finance industry and embedding Credit Benchmark's consensus data is a natural extension of the platform.
“Our clients have asked for richer credit context within the platform, and this integration delivers it without adding workflow steps, helping to enhance their RWA management and ability to prioritise specific funds.”
Credit Benchmark's consensus ratings are derived from internal credit risk views contributed by leading global financial institutions, providing a market-wide perspective that is already used by many of the largest banks and asset managers.
By embedding that data into Onboard+, EquiLend clients can prioritise counterparty and fund onboarding decisions more efficiently and assess where their firm's view sits relative to peers, all without leaving the platform.
Commenting on the partnership, Mark Faulkner, co-founder, Credit Benchmark, adds: “Onboard+ is becoming a standard reference point for counterparty workflow in the securities finance market, and bringing Credit Benchmark's consensus data into that workflow puts an institutional credit lens directly where decisions are being made.
“Our data is already used by many of the largest banks and asset managers and making it natively available inside Onboard+ accelerates adoption and makes day-to-day onboarding decisions more informed.”
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