Manager of Data Science & Analytics, Payments Intelligence

<div class="content-intro"><h2><strong>Brief info about Vinted&nbsp;</strong></h2> <p data-renderer-start-pos="1"><span data-sheets-root="1">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. <br>The Vinted Group is made up of three business units that support this mission:<br><br><strong><a href="https://careers.vinted.com/marketplace" target="_blank">Vinted Marketplace</a></strong> 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.<br><br><a href="https://careers.vinted.com/vintedgo" target="_blank"><strong>Vinted Go</strong></a> 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.<br><br><a href="https://careers.vinted.com/vintedpay" target="_blank"><strong>Vinted Pay</strong></a> 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.<br><br>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.&nbsp;</span></p></div><h2><strong>Information about the position&nbsp;</strong></h2> <p>As a Manager of Data Science &amp; Analytics, Payments Intelligence you will report directly to the Director of Data Science &amp; Analytics, Payments BU and will be leading an analytics-focused team. Payments Intelligence team supports all Payments Business Unit across different domains: it serves as a Data Science and Analytics Engineering hub, a technical centre of excellence and the last line of support when domains need it. You will have to collaborate closely with Engineering, Product, Data, Design, Business, Compliance and Finance stakeholders across the Payments organisation. You will be the direct manager of Analytics Engineers, Data Scientists and Decision Scientists</p> <p>Payments are set out to create a global, rev