EDGE Score

Machine learning-based risk score for Credit

EDGE Score is a proprietary machine learning-based risk score trained on consumer permissioned bank transaction data to be predictive of early term defaults (such as first payment default).
The score was developed using data from a variety of personal lending products and trained on targets including First Payment Default.

EDGE Score is output on a range of 500 to 750, with decreasing likelihood of default as the score increases.
Accounts that do not have sufficient data for reliable scoring will receive a 200 score.

Adverse Factors

Every scored record will also contain up to five (5) adverse factors.

Adverse FactorRelated Feature Categories
Excessive obligations in relation to incomeLoan Activity, Income Activity, Balance Trends
Income insufficient for the amount of credit requestedIncome Activity, Balance Trends
Limited credit experienceAccount Activity, Account History
Temporary or irregular employmentIncome Activity
Unable to verify incomeIncome Activity
Unable to verify employmentIncome Activity
Unable to verify credit referencesLoan Activity, Debt Activity

Odds Table

BandGood vs Bad OddsCumulative GoodCumulative BadKS
500 - 5500.3330%0%0%
550 - 5600.8690%0%0%
560 - 5700.9030%2%1%
570 - 5801.0941%5%4%
580 - 5901.4873%11%8%
590 - 6001.8615%18%13%
600 - 6102.45510%28%18%
610 - 6202.81716%39%23%
620 - 6303.65325%51%26%
630 - 6404.59336%63%27%
640 - 6505.8450%75%25%
650 - 6607.08264%85%21%
660 - 67010.42379%92%14%
670 - 68012.12789%97%8%
680 - 69014.80595%99%4%
690 - 70017.16498%100%2%
700 - 71024.94999%100%0%
710 - 72026.538100%100%0%
720 - 75027.121100%100%0%
5.063100%100%