Senior Decision Scientist, Fraud Management (Vinted, UAB)

Job description:
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
Requirements:
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
Company offers:
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…