Key Responsibilities

- Design, deliver, and maintain high-quality data solutions supporting AML and financial crime prevention processes.
- Act as the bridge between IT, Data Hub, Operations, and AML/Compliance teams, translating business and regulatory needs into actionable data solutions.
- Gather and document requirements through workshops and structured analysis, ensuring alignment between technical feasibility and business needs.
- Establish and maintain data governance and data quality frameworks, including data ownership, quality rules, access controls, and traceability.
- Monitor and investigate data quality issues and discrepancies, including the ability to work with raw/mainframe data when required.
- Analyze AML Transaction Monitoring data, including Customer, Account, and Transaction (CAT) data, to identify anomalies, gaps, and data quality issues.
- Define business and technical rules for data integration and ensure compliance with data governance and security standards.
- Design logical and physical data models, data warehouses, and data marts for AML reporting and analytics.
- Develop and industrialize data pipelines to improve data accessibility, scalability, and reusability.
- Prototype and validate data solutions with business stakeholders and continuously optimize data workflows.
- Coordinate multiple stakeholders across IT, Data, Compliance,



and Operations and drive issues through to resolution.

Experience Required

- 5+ years of relevant experience in Data Analytics, with 2–6 years of hands-on experience focused on AML, financial crime prevention, or related banking data.
- Master's degree in Statistics, Mathematics, Engineering, or another quantitative discipline; equivalent analytical experience may also be considered.
- Strong hands-on experience with SQL and data modelling.
- Experience with PowerDesigner or an equivalent data modelling tool.
- Experience with reporting and dashboarding tools such as Tableau, Business Objects (BO), SAS, or similar.
- Strong understanding of banking data and AML Transaction Monitoring, particularly Customer, Account, and Transaction (CAT) data.
- Proven experience with data governance, data quality frameworks, data rules, monitoring, and issue escalation.
- Experience gathering, documenting, and managing functional and non-functional requirements for data solutions.
- Strong understanding of data security, IT architecture, and financial services operations.
- Experience coordinating multiple stakeholders across IT, Data Hub, Compliance, and Operations.
- Familiarity with Agile methodologies and tools such as JIRA or Agile Central is an advantage.
- Fluent Dutch, French, and English are mandatory.

📌 Data analyst (España)
🏢 OPTIMUS IT SERVICES
📍 España