Senior Decision Scientist - Payments

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
• 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 perks 

• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• Newest MacBook models
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Lunch benefit per working day
• Company bike leasing scheme
• Monthly budget for a flexible benefits platform
• Work from Home allowance
• A personal monthly budget for shopping on Vinted
• Collective Defined Contribution Pension plan
• NS Business Card for your commute to the office by public transport
• A dog-friendly office

Working at Vinted 

Workation Policy

Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.

Individual Learning Budget

Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.

Hybrid Work

Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

Equal Opportunity

We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!

The annual gross salary range for this position excluding 8% holiday pay is: 67700 - 91500 EUR