Data Analyst - Fraud

📋 Description

• Investigate fraud attacks, quantify their impact, and present findings
• Propose and refine rule-based mitigations with fraud ops and engineering
• Build and maintain dashboards to monitor fraud trends and metrics
• Collaborate with fraud ops, data scientists, engineers, and product managers
• Identify emerging patterns and flag risks before escalation

🎯 Requirements

• 4+ years as Data Analyst (Fraud) or equivalent
• Strong problem solving skills
• Advanced SQL, complex queries across large datasets
• Experience in fraud, risk, or financial services
• Proactive mindset, self-starter
• Python or scripting for data manipulation

🎁 Benefits

• Culture prioritises wellbeing and collaboration
• Learning and development opportunities
• Competitive compensation, pension, health insurance, annual bonus