I’m planning on making an application scorecard for home loans as my bachelor thesis for University.<\/p>\n
One of my(along with my academic supervisor’s) main concern is having a reliable dataset or rather the dataset being from a reliable source. One of the big questions that I’m going to be potentially challenged on in such a thesis is the dataset’s reliability so it can’t be from somewhere like Kaggle, but for a example somewhere like Experian\/Equifax would be okay. I work at a bank and deal with such models but unfortunately I can’t use any company data (even if it gets anonymized). So far I’ve seen some promising stuff in FFIEC’s website but would like some additional sources so I can make a more educated decision<\/p>\n
Roughly I would need the data to contain these fields:<\/p>\n
Age <\/p>\n
Job <\/p>\n
Income <\/p>\n
Education <\/p>\n
Marriage Status <\/p>\n
Information about previous defaults ( something like a Y\/N if the applicant has defaulted on a loan in the last 5 years for example) <\/p>\n
Type of property that would be purchased with the loan<\/p>\n
Some other fields that I could potentially exclude in further analysis<\/p>\n<\/div>\n
submitted by \/u\/JesusBreakdancing <\/a>
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