Expected Credit Loss (ECL) is the estimate of the total loss that a financial institution may suffer from loan defaults. In this blog, we will explore ECL and two of its major regulations, CECL and IFRS9. We will also examine how SAS Allowance for Credit Loss can be used for calculating your Expect Credit Loss. ... View more

The e-filing process in SAS Anti-Money Laundering involves four main steps. First, the individual regulatory reports must be validated to conform to the data quality standard. Next, e-files are generated from the reports that are ready to submit. Then, you schedule the batch transfer process to submit the e-files to the regulators. Lastly, the system analyzes the response file from the regulators and updates both the case and report status in the interface. ... View more

In this post, we will explore the concept of individual adjustments and their role in credit risk analysis. Individual adjustments allow us to fine-tune the credit risk calculations and adjust them according to specific circumstances. ... View more

Hello,   How to find the position of each backlash and dot in:   DATA new_dataset; INPUT text :$100.; DATALINES; /dwh_actuariat/sasdata/sas1999/nx/ingnovex.rd016y.prm.jun1999.dat.Z ; RUN; ... View more

Team Name  Academic Weapons  Track  Banking  Case   Creating a predictive model that can predict the next closing price of a given stock.  And minimize errors to make it a more efficient investment tool.  Technology  Python, R, SAS viya for learners  Team Lead Manu Srinivas  Team members  Ngudiakama Mfulama  Gabe Schell Nimalan Subramanian  Is your team interested in participating in an interview?  Y Region  North America  ... View more