Senior Decision Scientist, Fraud Management
About the role
Senior Decision Scientist, Fraud Management | Vinted Careers Vinted Relocation How We Hire Engineering Academy Data Science & Analytics Academy Marketing Tech Academy Internships Early Careers Blog Vinted Group Vinted Marketplace Vinted Go Vinted Pay Culture at Vinted About en Jobs Senior Decision Scientist, Fraud Management Data Science & Analytics Amsterdam, Netherlands Vinted Pay 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. In this position, you’ll Partner with your team and stakeholders at Vinted, to identify strategic opportunities and provide data-driven recommendations, as well as answer critical business questions. Test and analyse developed opportunities to validate their value and understand their business impact, using statistical methods and visualisation tools Select, calculate, and monitor your team's key performance indicators, proactively flagging issues, running analyses and understanding root causes Enable your team and direct stakeholders to independently leverage data for business insights via self-service dashboards Contribute to a data-driven culture by promoting best practices in analytics and decision-making to make data count. Co-create together with Data Scientists to enhance fraud detection processes About you Experience in a Decision Science or Data Analytics role Experience in Fraud Prevention, Trust & Safety, or a related area Good analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact Familiarity with SQL and Python Experience with BI tools (e.g., Looker, Tableau, Power BI) Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques Highly results-oriented and comfortable with iterative processes Strong communicator who can convincingly present results to both technical and non-technical audiences Fluent in English, both written and spoken Work