A major Belgian financial institution is strengthening its data capabilities for anti-money laundering and financial crime prevention. As a Senior Data Analyst, you will connect IT, Data Hub, Compliance, and Operations, using SQL, data modelling, and AML Transaction Monitoring data to deliver reliable information for regulatory processes and operational decision-making.
The mission
AML processes depend on consistent Customer, Account, and Transaction data across banking systems, data warehouses, datamarts, and reporting environments. The team is establishing robust data governance, quality controls, and reusable data pipelines so that AML and Compliance teams can work with traceable, secure, and accessible information.
You will analyse data flows and discrepancies, including data points originating from mainframe systems, and translate business needs into functional and non-functional requirements. Your work will cover logical and physical data models, reporting solutions, data quality frameworks for AML data, and coordination between technical and non-technical stakeholders.
Your responsibilities
- Define logical and physical data models for AML reporting, analytics, data warehouses, and datamarts.
- Translate regulatory, operational, and business needs into documented data requirements and integration rules.
- Analyse AML Transaction Monitoring data and CAT data to identify anomalies, gaps, quality issues, and improvement opportunities.
- Establish data governance and quality frameworks covering ownership, validation rules, access protocols, monitoring, and issue escalation.
- Coordinate workshops and structured input from IT, Data Hub, Compliance, and Operations to align solutions with financial services operations.
- Improve data pipelines, reporting workflows, and prototypes while applying data security and IT architecture standards.
Your profile
Essential skills
- At least 5 years of relevant experience in Data Analytics, including hands-on experience with AML processes or financial crime prevention.
- Ability to use SQL to investigate data discrepancies and analyse customer, account, and transaction attributes.
- Practical experience with data modelling tools such as PowerDesigner or an equivalent solution.
- Experience delivering reporting and analysis with tools such as Tableau, BO, or SAS.
- Strong understanding of banking data, AML Transaction Monitoring data, data warehouses, datamarts, and data pipelines.
- Capability to capture, document, and manage functional and non-functional requirements for data solutions.
- Knowledge of data security, IT architecture, financial services operations, and data quality frameworks.
- Strong analytical, problem-solving, communication, and project management skills, with the autonomy to coordinate several stakeholder groups.
Preferred skills
- Familiarity with Agile methodologies and project management tools such as JIRA or Agile Central.
Languages
- Dutch: fluent, C1 or above
- French: fluent, C1 or above
- English: fluent, C1 or above
Education
- Master’s degree in statistics, mathematics, engineering, or another quantitative discipline.
- Equivalent academic backgrounds with substantial knowledge of analytics may also be considered.