FAQs
What is the main purpose of the Data Quality Professional role at ING?
The main purpose of the Data Quality Professional role at ING is to support data collection, data analyses, and data remediation within the Wholesale Banking Domain, contributing to a culture of continuous improvement in Data Quality.
What are the key responsibilities of this position?
The key responsibilities include conducting analyses of credit risk model data requirements, performing data quality checks, remediating data, performing root cause analyses on data quality issues, and collaborating with various stakeholders within the Wholesale Banking domain.
What tools or software should candidates be familiar with?
Candidates should have experience in performing data analyses using SAS Enterprise Guide or SAS Base.
What qualifications are required for this position?
At least 3 years of experience in a data analysis-oriented function and knowledge of Data Quality Management practices such as Data Remediation, Data Profiling, Data Quality Assessment, Data Cleansing, and Root-Cause analysis are required.
Is prior experience with bank regulations or credit risk necessary?
While not mandatory, a background or knowledge of bank regulations, credit risk, and risk model data is considered an advantage.
How important is collaboration in this role?
Collaboration is very important as the role involves working with partners and stakeholders across the Wholesale Banking domain, including modelling, data teams, and local business units worldwide.
What interpersonal skills are important for a Data Quality Professional?
Assertiveness, openness to feedback, effective communication skills to explain complex topics to a diverse audience, and the ability to challenge existing norms are important interpersonal skills for this role.
What types of analysis will the Data Quality Professional be conducting?
The Data Quality Professional will conduct thorough analyses of data requirements, performance data quality checks, and root cause analyses on prioritized data quality issues.
Is flexibility a requirement for this position?
Yes, flexibility is required in terms of adapting to changing situations and collaborating with various teams to execute data quality remediation actions effectively.
Do we support career development and growth in this role?
Yes, at ING, we value and support career development opportunities for all colleagues, including those in the Data Quality Professional role.