Remove Blog Remove Credit Risk Remove Risk
article thumbnail

Proactive Credit Risk Management: Developing an Early Warning System

Finezza

This highlights the inherent risks lenders face. Therefore, financial institutions (FIs) need robust credit risk management to minimise risk and boost returns and productivity.

article thumbnail

Understanding the Different Types of Credit Risk

Finezza

Credit risk continues to remain one of the areas of concern for a majority of traditional and new-age lenders. Additionally, new-age lenders often cater to underserved or high-risk segments, increasing the […] The post Understanding the Different Types of Credit Risk appeared first on Finezza Blog.

article thumbnail

Combining Machine Learning with Credit Risk Scorecards

FICO

With all the hype around artificial intelligence, many of our customers are asking for some proof that AI can get them better results in areas where other kinds of analytics are already in use, such as credit risk assessment. My colleague Scott Zoldi blogged recently about how we use AI to build credit risk models.

article thumbnail

Using Alternative Data in Credit Risk Modelling

FICO

This comment from a participant in our recent EMEA Risk Leadership Forum caused a lot of chuckles and nodding heads. When it comes to evaluating credit risk, everyone wants to know if, when and how lenders will start probing their Facebook account. This gives you a better understanding of the consumer and their risk.

article thumbnail

Combining Machine Learning with Credit Risk Scorecards

FICO

With all the benefits of artificial intelligence, many of our customers are wanting to leverage machine learning to improve other types of analytic models already in use, such as credit risk assessment. My colleague Scott Zoldi blogged a few years ago about how we use AI to build credit risk models. default rate.

article thumbnail

Collections Analytics: Are We Missing the Credit Risk Revolution?

FICO

Having worked in credit risk for most of my career during the revolution in analytics, it continues to concern me that the collections and recoveries (C&R) divisions of banks seem to be left behind. Innovations in credit risk analytics that have been widely adopted in other risk areas rarely get used at the C&R level.

article thumbnail

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. How Much Value?