ING Hubs Poland is hiring!
We are looking for you if you have:
You will get extra points for:
experience in utilizing BI tools (e.g. Power BI) to enhance data visualization is deemed as a plus,know data concepts and data traceability is not a mystery to you.Your key responsibilities:
Credit Risk Reporting: understand the complex Credit Risk Data landscape and develop, produce, and enhance regular and ad-hoc credit risk reports to provide clear insights into the risk profile of the bank's various portfolios,Data Analytics: Conduct in-depth analysis of large and complex datasets to identify trends and risks within the business portfolios. Leverage strong analytical skills to interpret complex data and provide actionable reporting insights that support the risk decision-making processes,Strategic Execution: Drive the execution of strategic goals by e.g. developing integrated datamarts in collaboration with our Data Management tribe that enhance data understanding, accessibility, traceability and reporting efficiency. Support initiatives focused on the rationalization, streamlining, and automation of the current credit risk reporting framework, ensuring continuous improvement and alignment with our goals,Stakeholder Management: Interact with various stakeholders, both locally as well as on head office level, including the credit risk functions, commercial functions, data management, and (senior) management, to realize data-driven findings and provide well-supported insights.Information about the squad:
We are seeking an experienced and highly analytical Senior Credit Risk Reporting Analyst to join our team. The successful candidate will play a pivotal role in analyzing, interpreting, and reporting on the credit risks of our business portfolio. This role requires high data analysis capabilities, a good understanding of credit risk management, and a strong ability to execute strategic priorities. We are looking for senior specialists / experts to join the squads in ING Hubs PL, working for reporting in Risk Areas located in Belgium.
The role naming convention in the global ING job architecture will be “Data Scientist IV”.