Before the policy, here are some definitions:
A probabilistic score (0-1) assigned to all users at the time of onboarding that predicts the likelihood that the identity supplied belongs to the person who is creating the account. 1 meaning we are 100% certain that the user is who they say they are. 0% means with 100% certainty we can say that the user is not who they say they are.
A probabilistic score (0-1) assigned to all users who are utilizing their accounts which predicts the likelihood that their subsequent transactions will lead to a financial loss.
Reducing Onboarding Risk
We will be utilizing ID Score to reduce stolen profiles in our system, the idea being that a user is less likely to fraud us with their real identity. If a user's ID Score is below 0.8, we will be collecting additional documentation and performing enhanced due diligence before onboarding them to the platform.
On top of that, we will be utilizing Risk Score to put people in green (over 0.9), yellow (0.5-0.89), and red (below 0.5) paths. Where the green path will give users uninterrupted access to all payment products, yellow will reduce all payment limits by 50% and red will reduce limits by 90%.