Remove Credit Risk Remove Origination Remove Risk Assessment
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Credit Scoring: Which Personality Traits Predict Credit Risk?

FICO

Everybody has a personality which can help us understand their risk profile, making the EFL assessment universal – we can score anyone. To date, EFL has shared very little about the actual traits that drive our credit models. An Alternative to Credit Data. Original module design inspired by Sternberg et al.

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Using Alternative Data in Credit Risk Modelling

FICO

When it comes to using alternative data in credit risk assessments, the field has really opened up over the last few years. Here is useful information on how to assess alternative data and combine it with so-called traditional data to improve credit risk models. Multiple Types of Alternative Data.

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Tracking Credit Risk in a Challenging Economy - South Africa

FICO

The Empirica Score was developed by predictive analytics software company FICO with the aim of equipping organisations that offer credit to their customers with solid risk assessment when determining an applicant’s eligibility for a credit. FICO is a world leader in credit scoring, with credit scores in some 30 countries.

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Nimbla Teams With Wiserfunding To Safeguard Invoices

PYMNTS

invoice insurance provider Nimbla is teaming up with the credit risk assessment firm Wiserfunding , according to a report in Crowdfund Insider on Friday (May 29). The partnership is a result of the launch of the FinTech task force Innovate Finance , which took place in March, the report said.

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Application Fraud — Establishing Your Fraud Risk Appetite

FICO

At point of origination, you stop the obvious frauds. But what if we take what we learned about these customers at point of origination and we carry it through to our downstream controls? For example, while the capabilities to detect fraud and assess risk at point of origination may differ, the data ecosystem has huge overlaps.

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How Transactional Analytics for SME Lending Drive Greater Value

FICO

billion more credit to existing SME customers, while helping further support originations by driving incremental lending of US$580 million to new customers. The models also helped in originations. Learn more about balancing risk, opportunity and reward when it comes to SME lending. by Richard Lagerweij.

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6 Principles for Cyber Risk Scores — and Why We Need Them

FICO

Any rated organization shall be allowed access to their individual rating and the data that impacts a change in their rating. Rating companies shall not provide third parties with sensitive or confidential information on rated organizations that could lead directly to system compromise.

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