Remove Credit Risk Remove Non-Bank Remove Origination
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What Should We Expect to See From Embedded Finance in 2024?

The Fintech Times

This April, The Fintech Times is focusing on all things embedded finance, the integration of financial services into non-financial products and services. Whether it be retailers, ride-hailing apps, super-apps, or other non-bank service providers, embedded finance appears to be making its way into every sub-sector.

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Top 10 Banking Trends that Will Define the Sector in 2024

Fintech News

In 2024, the banking sector is witnessing a pivotal transformation driven by advanced technologies like AI and cloud computing, evolving customer demands, and changing regulatory landscapes. Accenture’s “ Banking Top 10 Trends ” report for this year highlights this transformative journey. Generative AI supercharges banking.

AI 116
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Optimizing Data To Unlock Trade Finance Collaboration

PYMNTS

It's a complex ecosystem, however, in which financial institutions must coordinate with insurers, institutional investors, and each other to not only originate trade finance, but mitigate risk and distribute assets. You have to look at risk in its entirety," said Gugelmann. There are many new ways of risk mitigation.".

Finance 70
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The New White Walkers: Zombie Synthetic Identity Fraud

FICO

For those of you familiar with the credit bureaus, you know that derogatory information such as late payments, collections, or charge offs are legally required to be purged from your record after 7 years and cannot be used in credit risk decisioning. Address the continuum of credit risk and fraud.

FBI 75
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Top 5 Risk Analytics Posts: From Rising FICO Scores to Alt-Data

FICO

“By contrast, growth in student loan debts outpaced inflation, being both greater in number as well as balances; this undoubtedly creates a drag on capacity for other forms of consumer credit.”. A New Way to Score Credit Risk – Psychometric Assessments. 2017 Banking Regulatory Predictions—Brace for a Sea Change.

Risk 58
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Top 5 Fraud & Security Posts 2018: AI and Machine Learning

FICO

Each transaction is tagged as either fraud or non-fraud. Unsupervised models are designed to spot anomalous behavior in cases where tagged transaction data is relatively thin or non-existent. As discussed earlier, in the case of authorized push payment fraud, the payee’s bank may not be held liable for losses from the fraud.

Posting 74
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Lending Club’s Terrible Twos

PYMNTS

The consumer credit market has huge potential — trillions and trillions of dollars — and I wanted to ride that winner. Lending Club’s model does not need bank branches on each street corner, and it can turn around in minutes and hours, not days. banks at the time. The Billion-Dollar IPO. IPO of the year.