Senior Payments Fraud Scientist

Vinteden; Amsterdam; Hybrid; EUR 68,000 - 92,000; Full time

Benefits offered by this job

The opportunity to benefit from our分享?

25 days of paid annual leave

Newest MacBook models

Confidential Employee Assistance Plan

Frequent team-building events

Home office budget up to €540 for home

Lunch benefit per working day

Company bike leasing scheme

Monthly budget for flexible benefits

Work from Home allowance

Personal monthly budget for shopping

Collective Defined Contribution Pensi

NS Business Card for commute

Dog-friendly office

Job summary

Vinted is seeking a Decision Scientist to safeguard its payments ecosystem within the Data Science & Analytics (DSA) team. You will analyze massive datasets, balance real-time ML predictors with hand-crafted rules, and influence payments products.

You will work cross-functionally with Product and Engineering managers to drive critical initiatives. You will develop data-driven insights, build self-service dashboards, and promote analytics best practices across stakeholders while shaping fraud

Qualifications

• Experience in a Decision Science or Data Analytics role.
• Experience in Fraud Prevention, Trust & Safety, or a related area.
• Strong 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, regression analysis, and other inferential techniques.
• Highly results-oriented and comfortable with iterative processes.
• Strong communicator who can present results to technical and non-technical audiences.
• Fluent in English, both written and spoken.

Responsibilities

• 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

Skills

Decision Science

Data Analytics

Fraud Prevention

Trust & Safety

Analytical thinking

SQL

Python

BI tools

A/B testing

Communication

Tools

Looker

Tableau

Power BI

Job description

Vinted is seeking a Decision Scientist to safeguard its payments ecosystem within the Data Science & Analytics (DSA) team. You will analyze massive datasets, balance real-time ML predictors with hand-crafted rules, and influence payments products.

You will work cross-functionally with Product and Engineering managers to drive critical initiatives. You will develop data-driven insights, build self-service dashboards, and promote analytics best practices across stakeholders while shaping fraud