Related skills
bigquery looker sql python dbt📋 Description
- Design and maintain data models for transaction monitoring and risk scoring.
- Deliver FinCrime analytics solutions from requirements to deployment.
- Develop detection logic and monitoring rules for fraud and compliance.
- Ensure data quality and auditability of FinCrime datasets.
- Build dashboards with Looker/Looker Studio for risk monitoring.
- Support regulatory audits with traceability of data and controls.
🎯 Requirements
- 2-4 years data analytics experience in FinCrime, compliance or financial services.
- Advanced SQL skills across complex datasets.
- Experience with data stack tools: dbt, BigQuery, Looker/Looker Studio, Git.
- Experience building data pipelines and analytical datasets.
- Solid understanding of financial crime frameworks.
- Python experience desirable.
🎁 Benefits
- Competitive salary conditions.
- Private health insurance, gympass and Meditopia.
- Support to progress your career in the Data & Analytics world.
- Work in a collaborative environment and modern data stack.
- Flexible hybrid model (4 days in office, 1 remote).
- 23 days annual leave plus birthday off and Malaga holidays.
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