Data Analyst (Credit Risk)
Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 13, 2026. ING Group scores B on the Alion truth index.
Data Analyst (Credit Risk)
Help Shape Better Decisions Through Data
At ING, we believe data has the power to simplify complexity and help people stay a step ahead in life and business. We're looking for a Data Analyst (Credit Risk) who enjoys solving complex data challenges, uncovering insights, and helping drive better risk decisions across a global banking environment.
If you're passionate about data, thrive in collaborative teams, and enjoy turning information into meaningful outcomes, we'd love to hear from you.
Role Summary
As a Data Analyst (Credit Risk), you will support credit risk model monitoring and validation activities through data analysis, data collection, and data quality management. You'll work with large and complex datasets from multiple source systems, transforming them into reliable data assets that enable risk modelling teams to assess model performance and support important business decisions.
You'll collaborate with a diverse group of stakeholders across the bank while contributing to ING's global data management strategy and agile ways of working.
About the Team
You will join our Data Analytics team, a group of specialists supporting risk modelling and management reporting across Finance and Risk. Combining expertise in risk analytics, banking processes, and advanced data processing, the team plays a critical role in ensuring high-quality data is available for modelling, reporting, and decision-making.
What You'll Be Doing
- Analyze and translate credit risk model data requirements into effective data solutions
- Develop and maintain SAS programs to support data collection activities
- Identify, investigate, and resolve data quality issues
- Create and maintain technical documentation for end-to-end data processes
- Deliver high-quality data marts and datasets to model development and validation teams
- Recommend and implement improvements to data collection and processing practices
- Partner with stakeholders to understand evolving data and reporting needs
What We're Looking For
Required Skills
- Degree in Mathematics, Statistics, Computer Science, Data Science, Information Management, or a related field
- Experience in data analysis within banking, finance, or credit risk environments
- Strong SQL skills
- Strong SAS (4GL) programming skills
- Ability to analyze complex datasets and draw meaningful conclusions
- Strong problem-solving and communication skills
- High attention to detail and commitment to data quality
- Ability to manage priorities and deliver results in a fast-paced environment
Preferred Skills
- Understanding of banking credit processes
- Experience with credit risk modelling concepts such as PD, LGD, EAD, IFRS9, IRB, and Definition of Default
- Knowledge of bank balance sheets and financial reporting
- Experience working in Agile/Scrum environments
- Familiarity with Bash, Git/GitLab, Jenkins, and Confluence
What We Offer
- A collaborative and inclusive international environment
- Opportunities to work on complex risk and analytics challenges
- Continuous learning and professional development
- Exposure to global stakeholders and banking processes
- The chance to contribute to meaningful decisions that help customers and businesses move forward
How to Apply
Click the application button on our career site and submit your application through Workday. We look forward to learning more about you.
Equal Opportunity
Don't meet every single requirement? Apply anyway. Research shows that many talented candidates only apply when they meet all qualifications. If this role excites you, we'd love to hear from you.
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- Apply only via official ING platforms. ING uses Workday as its internal recruitment system.
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About ING
With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse, and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.