This role involves engineering, automating, and governing data capabilities to support the Risk Intelligence environment at ING Australia
Job Summary
This role involves engineering, automating, and governing data capabilities to support the Risk Intelligence environment at ING Australia.
Candidates will execute BAU regulatory reporting including Pillar 3, ARF 112 & 113, and ARF 110 while ensuring data quality and controls.
The position offers a culture that celebrates individuality, provides an additional Rest Day, and includes an IMPACT day for volunteer sustainability activities.
Matching Summary
This role involves engineering, automating, and governing data capabilities to support the Risk Intelligence environment at ING Australia.
Skills & Requirements
Must-have
Advanced SQL and coding skills
Experience with SSIS or SAS ETL platforms
Minimum 5 years in similar technical role
Knowledge of credit, market, or operational risk
Ability to design and optimize ETL/ELT processes
Nice-to-have
Strong interpersonal and stakeholder management skills
Hands-on technical approach with career growth focus
Experience with Python or Java programming
Understanding of Pillar 3 and ARF regulatory frameworks
Key Requirements
Degree in Finance, statistics, mathematics, or related discipline
Minimum 5 years experience in finance or technical analysis
Proficiency in databases and ETL platforms like SSIS or SAS