Data Analyst - Financial Crime

📋 Description

• Design and maintain data models and datasets for transaction monitoring and risk assessment.
• End-to-end delivery of FinCrime analytics: requirements, extraction, transformation, validation, deployment.
• Develop and optimise detection logic and monitoring rules for transactions and anomalies.
• Build dashboards and analytics in Sigma for investigations and risk workflows.
• Perform data quality checks to ensure completeness, accuracy and auditability.
• Collaborate with investigators and compliance analysts to deliver actionable insights.

🎯 Requirements

• 2-4 years in Data/Business Analytics in FinCrime, Compliance, Risk or Financial Services.
• Advanced SQL skills; able to read/write queries across complex datasets.
• Experience with dbt, Google Cloud BigQuery, Sigma, Git.
• Experience building data pipelines, transformations and analytical datasets.
• Solid understanding of financial crime frameworks.
• Experience with Python is desirable.

🎁 Benefits

• Competitive salary conditions.
• Private health insurance, gympass and access to Meditopia.
• Flexible hybrid environment: 4 days in office, 1 day remote.
• 23 days of annual leave plus birthday off.
• Personal development including language courses.
• Work in a collaborative environment and contribute to a modern data stack.