EU remote
Senior Decision Scientist, Fraud Management
About this role
Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories.
Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe.
Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position As a Decision Scientist within the Data Science & Analytics (DSA) function, you will join our dedicated Payments Fraud Management team to safeguard Vinted’s financial ecosystem while maintaining a seamless experience for legitimate users.
Reporting to the DSA Manager for Marketplace Payments, you will work in a high-stakes, cross-functional environment alongside Product Manager, Engineering Manager, and Engineers. By analyzing massive datasets and leveraging statistical modeling, you will optimize the balance between real-time ML predictors, hand-crafted business rules, and third-party fraud networks. Ultimately, you will play a key role in shaping our payments products and driving critical initiatives - from evaluating next-gen external fraud signals to safeguarding post-pay-in lifecycles - ensuring every transaction remains secure, efficient, and reliable.