The role involves performing thorough analysis and articulation of credit risk model data requirements to support ING's global data management strategy
Job Summary
The role involves performing thorough analysis and articulation of credit risk model data requirements to support ING's global data management strategy.
Candidates must implement data collection requirements into SAS programs while identifying root causes of data quality issues and proposing solutions.
This position requires a specialist who can combine complex data from different source systems into data marts to assess credit risk model performance.
Matching Summary
The role involves performing thorough analysis and articulation of credit risk model data requirements to support ING's global data management strategy.
Skills & Requirements
Must-have
SQL proficiency required
SAS (4GL) programming skills
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 complex environments
Knowledge of bank balance sheet analysis
Key Requirements
College degree in Mathematics, Computer Science, Statistics, or Information Management
Strong SQL and SAS (4GL) programming capabilities
Experience in financial or credit risk data analysis