This role supports ING's global data management strategy by analyzing complex data from various source systems to monitor credit risk models
Job Summary
This role supports ING's global data management strategy by analyzing complex data from various source systems to monitor credit risk models.
The successful candidate will implement data collection requirements using SAS programs and ensure high data quality for model validation activities.
You will operate in a complex stakeholder environment, prioritizing insights to support critical decision-making regarding the bank's credit risk performance.
Matching Summary
This role supports ING's global data management strategy by analyzing complex data from various source systems to monitor credit risk models.
Skills & Requirements
Must-have
SQL proficiency required
SAS (4GL) programming expertise
Credit risk data analysis experience
Data quality issue identification
Financial or credit risk domain knowledge
Nice-to-have
Agile / Scrum methodology experience
Understanding of IFRS9 and IRB definitions
Experience with Bash, GIT, Jenkins, Confluence
Ability to work independently in multidisciplinary teams
Knowledge of bank balance sheet analysis
Key Requirements
College degree in Mathematics, Computer Science, Statistics, or Information Management
Strong ability to interpret data based on collected information and assumptions