Senior Data Scientist

• Optimizing and update logical and physical data models to support new and existing projects.
• Implementing data strategies, build data flows and developing conceptual data models in collaboration with data stewards
• Performing reverse engineering of physical data models from databases and scripts
• Implementing data strategies, building data flows, and developing conceptual data models in collaboration with data stewards to meet technical and business requirements.
• Analyzing data-related system integration challenges, proposing solutions, and documenting functional and non-functional requirements to drive sustainable change initiatives.
• Facilitating technical meetings, communicating complex technical information clearly, and collaborating with project managers, stakeholders, and external partners to deliver expected results.

• Growth opportunity in an international organisation with an established position in the market
• High-end equipment provided by the client
• Possibility to receive a cafeteria benefit offer

• Working experience within the areas of payment, financial crime and/or transaction monitoring systems (AML).
• Proven knowledge of at least two of the following: Python, SQL, DAX, Excel/VBA, R, Scala, C#, Tableau or any other programming language and/or visualization tools used for data analysis.
• Proven knowledge of Python, Scala, Spark experience - it's a must have
• Data modelling experience using data modelling tools like Power Designer / CA ERwin / IBM InfoSphere Data Architect / Python / SQL.

Nice to have:

• Understanding of Payment systems technical architecture.
• Experience with Quantexa or similar network analysis tools
• Deep understanding of the content and structure of SEPA and Swift cross border messages, both MT and MX (ISO 20022)