Trellance Earns Certification on CECL Tool

The certification confirms the tool’s accuracy in generating reserve estimates to protect against credit loss

Tampa, FL – February 7, 2024 – Trellance, a leading technology partner providing innovative analytics, cloud and talent solutions to credit unions, recently received the MountainView Risk & Analytics Fundamental Model Functionality Certification for its Current Expected Credit Loss (CECL) tool.

The MVRA certification process involved a review of the tool’s functionality, including testing with multiple data sets to ensure the tool consistently and accurately generated correct reserve estimates. The Trellance tool passed at every level of examination and testing, proving its value for credit unions looking to ensure they’re meeting CECL standards.

“We have always had the upmost faith in our CECL tool,” said Dan Price, Vice President of Professional Services at Trellance. “Earning the MVRA certification confirmed what we already knew and will help us to ensure our clients have that same faith and sense of security.”

The CECL tool is available through Trellance’s Prescriptive Analytics suite of products. It allows credit unions to assess their assets against predicted market losses and recommends how much capital should be held in reserve to offset losses for defaulted loans. The solution also comes with portfolio risk analysis and peer benchmarking reporting. To learn more about the CECL tool and how it can help your credit union, contact a Trellance representative today.

About Trellance

Trellance is a credit union cooperative and leading technology partner for credit unions, delivering innovative technology solutions to help credit unions achieve more. With a comprehensive suite of analytics, cloud and talent solutions, the Trellance team ensures credit unions increase efficiency, manage risk, and improve member experience. As a tech partner, Trellance ensures that credit unions have access to the latest generation of fintech solutions, filled with powerful tools such as artificial intelligence and machine learning. Learn more at

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