Credit Risk Stageur

ING has set the Ambition to become a data-driven organization with analytics as a business model.

As Credit Risk stageur, your primary responsibility will be to support the Credit Risk Area through ad hoc analysis, data extraction and reporting.

We are looking for a candidate who willing to learn how to analyse and visualize data using SAS, combined with a quantitative background.

The resource will be part of the Data and Reporting team within the Retail Credit Risk Team that covers the full area of lending to Retail customers based on portfolio approach acting as second Line of Defence. The responsibility of the team ranges from portfolio performance monitoring and reporting, risk cost and RWA optimization and forecasting.

If you are talented analyst and are looking to join a dynamic team, we encourage you to apply. We look forward to hearing from you!

Key Responsibilities

• Support data-driven strategic decisions by analysing, interpreting, elaborating data, visualizing, and presenting results.

• Support the monitoring of portfolio performance performing monthly monitoring.

• Enhance and optimize the reporting using SAS and dynamic and structured Excel files.

• Support the data reporting and analytics process with proper governance and documentation and keep the data quality at a defined satisfactory level.

• Collaborate with other risk functions to identify business opportunities and improve system/process efficiency.

Requirements

• Hold a degree in Statistics/Mathematics/Economics/Engineering or Computer Science

• Advanced knowledge of Excel and good knowledge of the Office package

• Advanced knowledge of SAS language

• Quantitative and analytical approach

• Fluent in English

As a plus:

• “SAS Certified Advanced Programmer for SAS 9” certification.

• Preliminary experience in data analysis or data science

• Knowledge of credit risk and related regulations

Our preferred candidate is

• inquisitive and happiest exploring data, making discoveries and understanding their implications.

• self-starter mindset, proactively identifying issues and opportunities and tackling them without being told to do so.

• delighted in automating processes, building datasets, and analyzing data to support business and risk decisions.

• proactive in managing daily task and personal targets. 

• a strong and enthusiastic team player to whom colleagues can rely on