<http://schema.org/description>
"...are to handle and mitigate Klarna\u2019s different exposures to risk, primarily fraud and credit, minimizing data costs, maximizing approval rate and revenues and represent the risk perspective in cross functional projects. All of this is to make sure that Klarna really is the simplest, safest and smartest way to buy online.\n\nAre you our new Director Data Science?\n\nThe Credit Risk division is divided into several teams with their unique responsibilities. However, there is of course one thing in comm..."^^<http://www.w3.org/2001/XMLSchema#string>
<https://tapwage.com/city/649630-kirkkonummi-finland/data-analytics/jobs>