BLOGS

Insights into Modern Lending

 

automated underwriting system benefits
Underwriting is a critical phase in financial institutions that involves assessing the risk associated with offering financial products, such as loans and leases, to individuals or businesses. As part of ...
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Credit risk management technology boosts approval rates
Regardless of the economic climate, risk management remains an important factor for lenders to consider during the approval process. Shifting events that influence the global economy, however – like political ...
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Management discussing account takeover fraud prevention
A well-defined credit underwriting framework is essential for responsible lending and risk management. To meet the challenges of an ever-changing market, lenders must refine and adapt their credit underwriting frameworks ...
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Streamlining loan servicing operations
In 2024, customer experience in the lending industry will be driven by technologies that reduce friction and improve customer satisfaction. With customer experience playing a significant role in financial decisions, ...
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Graphic depicting how to improve your lending business
Though there was a recent uptick, U.S. vehicle sales dipped at the end of 2023. Combined with the still-recovering auto components supply chain and a disruptive UAW strike, lenders are ...
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Automated credit decisioning produces faster, more accurate loan decisions
In the financial industry, lenders use credit underwriting to assess the creditworthiness of borrowers. Advances in artificial intelligence (AI) make it possible to enhance the efficiency, accuracy, and speed of ...
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Credit risk management technology boosts approval rates
Information technology (IT) has transformed all aspects of the lending sector, streamlining processes to benefit both lenders and borrowers. Banks, credit unions, and other lending institutions can now offer their ...
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Loan approval prediction using machine learning could help quickly find creditworthy applicants
Harnessing machine learning models for loan approval prediction is on the cutting edge of lending technology. These models can learn patterns from historical data to predict new loan approvals. They ...
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Automated credit decisioning produces faster, more accurate loan decisions
Loan applications are often sent to multiple lenders simultaneously. The action is called loan stacking, and it can help address a legitimate need for quick funding, or to perpetrate a ...
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Community banks understand the lending needs of individuals and small businesses
Community banks are unlike any other financial institution. They truly understand the individual needs of small businesses and the community members they serve and make personalized lending decisions based on ...
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Graphic depicting how to improve your lending business
Lenders face an uncertain financial market in a constantly changing global economy. To negotiate this dynamic milieu, lenders need to develop robust loan portfolio risk assessment strategies. They must evaluate ...
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Representation of contract signing at the end of the loan origination process
Banks and credit unions face economic uncertainty, evolving regulatory requirements, and technological disruptions in their credit operations. Credit risk assessment remains an ongoing challenge, requiring data analytics and predictive modeling ...
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