Lead Analyst, Fraud Strategy

Join Zepz:
Breaking Down Borders, Together

At Zepz, we are committed to breaking down barriers for customers across the globe.

We're looking for a talented fraud analyst to help us in our fight against fraud. This role will sit in the Fraud Intelligence team, responsible for fraud identification, mitigation and prevention. Working with Product, Commercial Managers, Engineering, and Data Science, the analyst will spot the latest fraud trends and drive impactful prevention solutions while ensuring a seamless customer journey. On the technical side, you will work with a variety of technologies, datasets and techniques to derive insights and improvements.

• Identify, qualify, and make data‑driven decisions to reduce fraud exposure.
• Champion data usage to optimize fraud mitigation across the business.
• Collaborate with stakeholders to translate compliance and business requirements into innovative solutions.
• Identify improvement opportunities through analysis, A/B testing, tracking, and self‑serve tool development.
• Present results to non‑technical audiences in a structured and simplified manner.
• Implement changes that improve team and functional performance regularly.

• 5+ years in payment fraud analytics or related data science with experience in fraud and financial crime prevention, preferably in financial services or fintech.
• High proficiency in SQL and data analysis to produce actionable insights, visualizations, and analysis from large datasets.
• Deep understanding of chargeback prevention from the merchant perspective and related tools (device profiling, behavioral profiling, machine learning).
• Exceptional communication skills to engage stakeholders at all levels and create clear written analysis.
• Strategic problem‑solving approach that addresses core business questions using diverse data sources.
• Ability to translate problems into actionable plans.
• Comfortable balancing multiple priorities in a fast‑paced environment.

• Experience in Financial Crime compliance (Transaction Monitoring).
• Experience in fraud prevention on stored value products (e.g., current accounts or wallets) and/or credit facilities.
• Experience with Python for data analytics, scripting, or machine learning.

• Remote‑first culture with flexibility to work in your country.
• Unlimited annual leave.
• Comprehensive healthcare benefits.
• Employee discounts.
• Opportunity to work on high‑impact projects with global reach.