FinScore is unique since it is a hybrid scoring model combining statistical scoring with psychometric modeling.
The client's credit score is a number generated by a mathematical algorithm -- a formula -- based on information in the credit scoring model, compared to information on tens of millions of other people. The resulting number is a highly accurate prediction of how likely the client is to repay the loan. Moreover, we also use Python as a machine learning algorithm.
No, we will not be using social media data.
Although FinScore will be hosted on Amazon Web Services, microfinance institutions will not be storing data on this platform but simply running the loan application process through FinScore if you are looking to consider an objective and transparent criteria before making a lending decision to improve client selection and reduce delinquency. The financial institution's client data will be protected and kept confidential.
The financial institution will identify the loan officers who will be given access to the scoring model.
Microfinance Association UK will provide an in-depth step by step process training to the financial institution on how to use the credit scoring model.
Yes, Microfinance Association UK's predictive lending model FinScore can be customized according to the financial institution's needs.
Amazon Web Services supports ore security standards and compliance certifications than any other offering, including PCI-DSS, HIPAA/HITECH, FedRAMP, GDPR, FIPS 140-2, and NIST 800-171, helping satisfy compliance requirements for virtually every regulatory agency around the globe.
Yes, you can do a half-yearly subscription.
We will provide ongoing IT support to resolve any technical glitches that financial institutions come across.

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