by David Jones

11.17

MBA Risk Management forum underway. @corelogicinc,@DocuTech and @genpactservices talking mitigating repurchase risk.

11.22

The key to avoiding repurchase? Strong data, automation, documentation, business rules process. #MBA_RMQA

11.27

More than 500 attendees roaming the halls of MBA Risk Management and Quality Assurance Forum today. #MBA_RMQA

11.28

1 of biggest reasons for repurchase request is data discrepancy from initial underwriting approval and closed package. #MBA_RMQA

14.40

Gearing up a panel on changing credit score model, moderated by@DataQuick. #MBA_RMQA

14.44

In 2009, a credit score of 700 was 5 times higher risk than a 700 in 2005. #MBA_RMQA #VantageScore.

14.46

Performance of credit models must be updated w/ annual validation data to be most accurate. #MBA_RMQA #VantageScore

14.51

Lenders must understand how the same score can be diff. from year to year, across credit bureaus and by region. #MBA_RMQA #VantageScore

15.09

Credit models have to ID both risk of traditional default AND risk of strategic default #MBA_RMQA #FICO

15.17

Lenders can supplement credit data to ensure risk accuracy. As many as 1/3 reports missing trade lines/information.#MBA_RMQA @corelogicinc

15.23

New risk scores ID new lending opps, avoid hidden risk, generate revenue and reduce losses. #MBA_RMQA @corelogicinc

16.39

Understanding the pecking order of liens is critical to evaluating portfolio risk #MBA_RMQA @DataQuick

16.42

Can’t eliminate human element of portfolio review, but automated solutions do heavy lifting. #MBA_RMQA @DataQuick

17.22

Great discussion: which is more important in risk management – loss reserve or clean data? #MBA_RMQA @DataQuick@interthinx #AndrewDavidson