Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
We Are Looking For You If You
- have Bachelor's or Master's degree in Economics, Engineering, Computer Sciences, or alike, and/or equivalent,
- have minimum 3 years of experience working in business analysis or data analytics in the banking sector,
- have hands-on experience working with SQL (must-have),
- understand and are interested in complex data structures,
- are familiar with data management concepts such as data quality, data lineage, and data reconciliation,
- are proactive and eager to learn,
- have strong analytical skills,
- act as the link between stakeholders providing data requirement,
- have strong English skills that enable you to collaborate effectively in an international environment.
- hands-on working experience with SAS/4GL,
- knowledge in Credit Risk domain,
- experience in Agile (Scrum) methodologies.
- analyse data requirements and design reliable solutions,
- performing analysis to assess quality and meaning of data,
- maintaining close cooperation with stakeholders,
- contribute to existing principles and standards to continuously improve them,
- functional documentation preparation.
We are looking for specialists to join Wholesale Banking Model Data team to support data management in risk domain. The team sifts through the complexity of credit risk data to identify and implement data strategies, optimised processes, and standard approaches to address data demands across the bank.
The role naming convention in the global ING job architecture will be “Data Scientist II”
, ING Hubs
Key Skills
Ranked by relevanceReady to apply?
Join ING Hubs Poland and take your career to the next level!
Application takes less than 5 minutes

