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.