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RiskSpan Launches Credit Model 7.1, a Purpose-Built NonQM Credit Model Inside the RiskSpan Platform

Via PR Newswire · July 17, 2026
Compiled by Real Estate Trail Editorial · July 17, 2026

Why this matters

RiskSpan’s introduction of Credit Model 7.1, tailored specifically for non-qualified mortgage (NonQM) loans, underscores a growing institutional focus on nuanced credit risk assessment amid evolving lending landscapes. NonQM loans, which fall outside traditional qualified mortgage standards, have gained traction as lenders and investors seek to serve borrowers who do not fit conventional underwriting profiles. By embedding a purpose-built NonQM credit model within its analytics platform, RiskSpan signals heightened demand for sophisticated tools that can parse the idiosyncrasies of this segment’s credit risk. For institutional investors and lenders, this development reflects broader shifts in capital allocation toward more complex, less standardized credit products. It suggests that market participants are increasingly reliant on advanced data and modeling capabilities to underwrite and price risk in a sector where regulatory and underwriting norms differ from prime lending. This may also indicate a recalibration of risk appetite, with capital flowing into segments that require enhanced analytical rigor to navigate potential credit volatility. In the context of US commercial real estate finance, where NonQM loans can intersect with property-level cash flow and borrower creditworthiness in nuanced ways, RiskSpan’s model could facilitate more granular risk stratification. This, in turn, may influence lending conditions, portfolio construction, and secondary market liquidity for NonQM-related CRE debt.

Editorial analysis · AI-assisted

Excerpt from PR Newswire:
ARLINGTON, Va., July 17, 2026 /PRNewswire/ -- RiskSpan, a leading provider of data, modeling and analytics solutions for loan and structured finance investors, today announced the general availability of Credit Model…
Read the full article at PR Newswire

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