Senior Data Analyst Credit Risk

Role & Responsibilties

• Analyze data, design and build physical models at the various stages of the data pipeline: ingestion of data sources, mapping in data warehouse and creating data marts for consumption
• Maintain applications in our Data Lake, managing data using Oracle Exadata as main database, while adhering to set performance standards
• Estimating the impact of changes in the data environment on Risk calculations (capital, provisions)
• Evidencing to the internal and external stakeholders that the data is compliant with ING standards (Data Management Process Control Standards)

How to succeed

You have experience in working with large databases within the financial services industry (preferably credit risk related), either in the Netherlands or Internationally, and have a thorough understanding of:

• Datawarehouse concepts and data modelling techniques in the context of a complex data landscape
• BI tooling (SAS, SQL Developer) at an advanced level, a.o. writing macro scripts to extract data directly from Oracle and perform fully automated reconciliations between datasets
• Translating business requirements and observed defects into clear user stories for the developers
• Importance of script hygiene for readable and understandable code and clear documentation
• You are experienced in how to optimize scripts in order to reduce processing time and data storage
• Knowledge of Credit Risk concepts (e.g. Risk Weighted Assets, Expected Loss, Definition of Default) is a plus.

In addition (required):

• You have an enthusiastic personality, and enjoy working in a diverse environment
• You foster and good collaboration and communication in the team
• You can write and speak in English fluently
• You have project management experience, preferably in an Agile setting
• You are stress resilient, able to prioritize, and manage effectively
• You constantly develop yourself professionally and are passionate about Credit Risk related topics