Senior Decision Scientist, Fraud Management

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.

• 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

• 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

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to 540 for home workplace furniture
• Private health insurance
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• A dog-friendly office
• In Vilnius office: Gym & in-house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast