Senior Decision Scientist, Fraud Management

Vinted group.; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Share options programme

25 days paid annual leave

Employee Assistance Program (EAP)

Frequent team-building events

Home office budget €540

Company bike leasing scheme

Monthly budget for flexible benefits

Work from Home allowance

Personal shopping budget on Vinted

Pension plan

Job summary

Vinted is seeking a Senior Decision Scientist for the Payments Fraud Management team in Amsterdam. You will safeguard the financial ecosystem while ensuring a seamless experience for legitimate users, collaborating with product, engineering, and analytics to balance real-time ML predictors with business rules and fraud networks.

You will lead data-driven analyses, build dashboards, and contribute to fraud detection improvements, reporting to the DSA Manager for Marketplace Payments within a

Qualifications

• 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 business impact.
• Familiarity with SQL and Python.
• Experience with BI tools (Looker, Tableau, Power BI).
• Knowledge of statistical methods, such as A/B testing and regression analysis.

Responsibilities

• Partner with team and stakeholders to identify strategic opportunities and provide data-driven recommendations.
• Test and analyse opportunities to validate value and impact using statistical methods and visualisation tools.
• Select, calculate, and monitor KPIs, flag issues, run analyses, and identify root causes.
• Enable stakeholders to use data for insights via self-service dashboards.
• Promote best practices in analytics and data-driven decision making.
• Co-create with Data Scientists to enhance fraud detection processes.

Skills

Decision Science

Fraud Prevention

SQL

Python

BI Tools

A/B testing

Statistical methods

Communication

English fluency

Tools

Looker

Tableau

Power BI

Job description

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
• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• 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
• 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.

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: