Data Analyst - Fraud

📋 Description

• Investigate fraud attacks and quantify impact to drive priorities
• Propose and refine rule-based mitigations with fraud ops and eng
• Build and maintain reporting and dashboards for fraud trends
• Collaborate with fraud ops, data scientists, engineers, product managers
• Identify emerging patterns and flag risks before escalation

🎯 Requirements

• 4+ years as a Data Analyst (Fraud) or similar
• Strong problem solving
• Advanced SQL with complex queries
• Experience in fraud, risk, or financial services
• Some exposure to Python or scripting
• BI tool proficiency (PowerBI/Looker/Tableau/Superset)

🎁 Benefits

• Culture that prioritises well-being and collaboration
• Learning and development focus with regular talks
• Competitive compensation, benefits package