Who we are looking for?
Data Practitioner: Experienced in managing and understanding complex data and data structures, and how they contribute within ALM risk and Balance Sheet Management.
Clear Communicator: You are a communicator and like to liaise with stakeholders such as IT teams, Finance reporting teams, UAT team and other ING HUBS.
Connector: Act as the link between stakeholders providing functional data requirements and translate this with the developers to technical specifications.
Project Manager: You possess project management skills.
Team Player: Someone with a “can-do” mentality who excels in a collaborative environment. You are a problem solver.
International Team Player: You enjoy working in an international team and environment.
Proactive Learner: You are proactive and eager to learn.
Strong Analyst: You have strong analytical skills.
Analytical Innovator: A strong analytical thinker who can create, challenge and enhance data processing techniques.

In the role of ALM Data analyst you will be required to quickly understand complex data and ETL processes. You will build new functionality to process and handle big data streams. The ALM data is mainly used for Net Interest Income (NII) forecasting, valuation and replication (i.e. hedging). You will be working on both the business and IT side of the ALM processes and must be able to translate functional requirements from business analyst into technical solutions.
Quickly understand complex data and ETL processes on inhouse data platform,
Translate Risk/Finance data requests into actionable items and designs with the team,
Implementation new solutions to end-users and locations.
Lead a project to improve data technics and Data Quality Controls
Support reporting teams in development of data marts and reporting solution in PowerBI.