Discover ING Tech
ING Tech is an international hub for technology & innovation, developing IT solutions across ING in areas such as Core Banking, Big Data, Financial Markets, Data Management, Touch Point Architecture and many more.
By using the latest methodologies in software development, our fast growing team gathers more than 700 tech enthusiasts who work for international projects that go beyond traditional banking.
Data is a game-changer. It’s all around us. Implementing a uniform approach as to how we manage data throughout the bank allows us to enhance the customer experience, lower IT operational costs, and swiftly and correctly report to external regulators.
The Wholesale Banking Data Management organization has various crucial components, like for example the platform, business data modelling, data services, data governance and also data quality.
Our success is dependent on bridging and smoothening the utilization of all these components into our delivery organization.
The Data Information Analyst is well positioned for this challenge.
As a Data Modeler you will be responsible for the end-to-end analysis of the requirements from the various Regulatory and Business Initiatives.
Together with the other members of the team, the Data Information Analyst investigates the data provided to the platform from the sources, analyses and profiles the data and aligns with the consuming side to map the information into the Information Warehouse and the ING-wide business terms.
Initiate data management improvements, set data quality, data security, data privacy, data issue remediation guidelines and standards, and support the setting up of data management and data governance processes.
What you bring to the team
You have Data mapping and Data profiling skills (conceptually and analytically strong to make the right modeling choices)
You have a consulting mindset including an ability to think about data management in a way that is abstracted from how business functions are implemented by technology
You are result oriented with an ability to find ways of solving or preempting problems
Ideally, you have a broad knowledge and deep practical experience with data quality, data lineage, data security, data privacy, data lifecycle management, data issue remediation and other data-governance practices.
Experience with core banking, finance or risk processes is an added value.