The Product: Safe Bank

Being a safe- and compliant bank is a prerequisite for our licence to operate and for customer trust. Therefore we need solid and data driven Know Your Customer, Fraud- and Collections Processes.

As a DME in the Safe Bank domain, you deliver data and insights needed for these processes. In close cooperation with your consumers in the KYC Services Tribe, Fraud Tribe and Collections Tribe, as well as their Global Counterparts, you develop

Key characteristics:

Self-starter with a good ability to work in a Global team virtually across various locationsAble to show role ownership and accountabilityGood knowledge of the agile way of working, but also has a pragmatic approach how to combine this in areas where close collaboration and transparency is a must.Knowledge of and experience in the banking sectorKnowledge in Data Management, Data Lake and Data Warehousing concepts is a huge plusExcellent verbal and written communication skills

Key responsibilities:

Work closely with ING Safe Bank consumers (KYC, Fraud, Collections) to discover and meet their data needs.Analyze and clarify consumption requirements, create detailed specifications for DevOps engineers.Understand existing conceptual, logical, and physical data models, and/or help in creation or sourcing of data into physical data models (one of the existing models is ING’s version of IBM Banking Data Warehouse model)Contribute to Data Governance – create and maintain Data Definitions as part of meta-data management (using IBM InfoSphere Governance Catalog), create Data Quality rules, contribute to Data RetentionContinuously seek enhancements for internal processes to speed up Data Management Team’s discovery and delivery.Work with various stakeholders, such as:Architects: Design data lake and implement new solutions according to the data lake target architectureData stewards: Capture the requirements for data quality, data privacy and other relevant aspects of the data. You test the data on all those aspects, and you safeguard the consistency and quality of the data in the data lake.Data Sourcing squads: You act as a subject matter expert regarding data delivery (data profiling, mapping, analysis, governance)You align with the business stakeholders the scope of the data that needs to be delivered (System of Record to the data users), you facilitate and contribute to workshops with stakeholders (data stewards, data users, analysts, data engineers, etc.)Engineers and business analysts: You participate in defining together with the team a sustainable solution for resolution of recurring issues in data.