Fraud Risk Data Analyst

Job Description

Scalapay is seeking a Fraud Risk Data Analyst to join their Risk & Analytics team in Milan. The ideal candidate will help protect Scalapay and its customers from fraud by turning raw data into actionable insights, refining fraud-detection models, and partnering with product, engineering, and data-science teams to minimize fraud losses while maintaining a friction-free checkout experience.Role involves:

• Owning fraud data pipelines & dashboards.
• Conducting deep-dive analyses to uncover emerging fraud patterns.
• Collaborating on model & rule optimization.
• Designing real-time monitoring & alerting systems.
• Integrating third-party fraud signals and internal data sources.
• Providing stakeholder reporting with data-driven insights.
• Offering investigation support for escalations and chargeback disputes.

Requirements:

• Bachelor’s degree in a quantitative field.
• Solid understanding of fraud-risk concepts in payments, fintech, or e-commerce.
• Proficiency in SQL for large-scale data extraction and analysis.
• Working knowledge of Python for data wrangling and exploratory analysis.
• Analytical mindset and strong problem-solving skills.
• Ability to prioritize and communicate insights clearly in English.

Scalapay offers:

• International environment.
• Opportunities to work with industry tech leaders.
• Personalized support for professional growth.
• Latest technologies.