About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Provident Risk Management Selects Fincad’s Fair Value Insight for Valuations

Subscribe to our newsletter

Provident Risk Management is using Fincad’s Fair Value Insight as the foundation for its clients’ credit risk management and market valuations for interest rate derivatives and maximum potential credit exposure.

Fair Value Insight is a secure web-based independent valuation solution built upon Fincad’s industry standard analytics and Icap’s market data. The solution enables corporate treasuries, banks, asset management and other financial and non-financial institutions to meet their risk management, independent valuation and regulatory compliance needs. It provides valuations for interest rate, foreign exchange and commodity derivatives, and debt securities.

“In a market where risk measurement is a necessary part of day to day business, we are pleased to work with Provident to equip clients with the capability to deliver on-demand derivatives valuations right to their inbox for greater transparency and improved liquidity risk management,” said Bob Park, president and CEO of Fincad.

“Fair Value Insight enables us to calculate maximum potential credit exposure at a 95% confidence level, allowing us to provide banks and corporations with an objective review of potential credit risk,” said Mart McConnell, Managing Partner, Provident Risk Management. “Clients can tailor reports to monitor individual trade portfolios and define parameters to generate automatic periodic reports.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

EU AI Act Puts AI’s Underlying Data Problems In The Spotlight

By Sarva Srinivasan, Global Head of Strategies at NeoXam Americas Another important part of the EU AI Act has come into play – with Article 50 introducing transparency obligations for certain AI systems, requiring organisations to disclose when users are interacting with AI. Now much of the discussion around these requirements has tended to focus...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...