by Samantha Zerger | Oct 15, 2019 | CECL
The Board of Governors of the Federal Reserve System’s SR 11-7 supervisory guidance (2011) provides an effective model risk management framework for financial institutions (FI’s). SR 11-7 covers everything from the definition of a model to the robust...
by Samantha Zerger | Sep 16, 2019 | Business Analytics
This is the fifth post in an occasional series about the importance of technical communication in the workplace. “Work organisations are not only using and applying knowledge produced in the university but they are also producing, transforming, and managing knowledge...
by Jonathan Leonardelli, FRM | Mar 25, 2019 | CECL
I would argue that a critical step in getting ready for CECL is to review the vintage curves of the segments that have been identified. Not only do the resulting graphs provide useful information but the process itself also requires thought on how to prepare the data....
by Jonathan Leonardelli, FRM | Feb 25, 2019 | CECL
To appropriately prepare for CECL a financial institution (FI) must have a hard heart-to-heart with itself about its data. Almost always, simply collecting data in a worksheet, reviewing it for gaps, and then giving it the thumbs up is insufficient. Data drives all...
by Jonathan Leonardelli, FRM | Feb 4, 2019 | Data
An article published by the Wall Street Journal on Jan. 30, 2019 got me thinking about the challenges of using unstructured data in modeling. The article discusses how New York’s Department of Financial Services is allowing life insurers to use social media, as well...
