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NinjaEdge Releases Enhanced Risk Score and Expanded Features to Address Effects of Inflation

NinjaEdge, the leading bank transaction analytics platform, has released its next-generation NinjaScore and risk features to better assess consumer credit risk and detect underwriteable cash flow.

“Already a critical tool in many lenders’ decision-making, our updated score is even more predictive of consumer underwriting risk,” said John Tate, Head of Data Science for NinjaEdge. “We have significantly improved our ability to score applicants with less data or lacking consistent income sources.”

These enhancements to NinjaEdge’s risk score and underlying features (or modeling attributes) leverage millions of additional datapoints to expand on the quantifiable behaviors and trends evidenced in a consumer’s bank account including income detection, spending patterns, balances, and high risk behaviors.

“It’s widely recognized that a consumer’s cash flow behaviors are more predictive of their underwriting risk today than past performance on tradelines reported to mainstream credit bureaus,” said Brian Reshefsky, President of NinjaEdge. “This is especially true for consumers in lower credit tiers who have historically been underserved and unserved with traditional risk assessment methods.”

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The distinctive predictive power of NinjaScore stems from the massive proprietary data lake on which NinjaEdge analytics are built, the industry’s only repository of loan performance married with consumer-permissioned bank transactions at scale.

“Particularly for consumers scored below prime by traditional risk methods, our cash flow based score outperforms credit reports and related scores on any validation metric such as Gini and K-S,” explained Tate. “Lenders can better rank order consumers by their relative risk and derive real-time insights for more precise underwriting decisions.”

NinjaScore is based on over 2.5 billion bank transactions from over 1.5 million consumer loan applications, and each feature underlying the score is not just retrospectively proven to work but uniquely battle-tested in real world lending decisions with capital at risk.

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“The NinjaEdge platform stands apart as the only risk analytics built by lenders for lenders,” added Reshefsky. “Against the backdrop of inflation not seen in four decades and not contemplated in the models and scores of any other risk analytics service, NinjaScore provides differentiated insights that will deliver tremendous value to our clients.”

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NinjaEdge clients can not only directly introduce the score into their underwriting processes but also utilize any of over 1,000 underlying features to improve their own risk models and decision rules.

“As a three-digit score in a range already familiar to lenders, our solution is immediately understandable and actionable,” added Tate. “Similarly, our features provide insight and predictive value analogous to bureau attributes but from a dataset orthogonal to credit history.”

Complementing its risk analytics, NinjaEdge enables access to consumer bank data with the NinjaFetch aggregation capability. After applicants are prompted for permission to retrieve their bank transactions, NinjaFetch routes the client’s request to the data provider with the most reliable connection and best data density for nearly universal coverage of US checking and savings accounts.

With this offering combining access to bank data and insights with unmatched actionability, numerous clients in consumer lending and related risk industries have integrated NinjaEdge into their decision-making to transform their portfolios with both fewer defaults and higher approvals of consumers who pay on time and in full that would have been overlooked using traditional risk scores alone.

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[To share your insights with us, please write to sghosh@martechseries.com]

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