Credit Kudos uses consumer transaction data to build highly accurate and transparent credit score-cards and affordability metrics. Our platform makes decision-making possible for the ~8m previously “unbanked” as well as those with nonexistent or “thin” credit files.
We believe that it’s possible to establish high accuracy predictors of credit worthiness that don’t punish borrowers at the low end of the income spectrum. To achieve this we are leveraging our experience in building high throughput data analytics products to develop a new type of scoring product that provides a fair and true representation.
We're hiring engineer #1 and #2 for full-stack and data-science roles. We've a bunch of exciting problems to solve and want you to decide how we're going to do it. We'll give you full autonomy, treat you as a founder and give significant equity in return.
How does this work out nutritional information from CC data? Surely spending 50$ at Whole Foods could correspond to a ton of broccoli or a ton of chocolate!
