Model Developer Predictive Analytics
Hybrid · Amsterdam, North Holland, The Netherlands
Job Summary
Develop, maintain, and enhance credit risk models for the Dutch portfolio, ensuring alignment with regulatory and business needs. Design and implement regulatory models for IRB and IFRS9, contribute to methodological improvements; analyze provisions, risk costs, RWA, and arrears; build and refine credit decision and in-life management models; integrate ESG risk into risk analytics; collaborate with Risk, IT, and front office; apply advanced analytics and AI/ML where relevant; work within ING’s agile WoW in a role that offers opportunities to grow modelling, data, and AI skills.
Required Qualifications
- MSc or PhD in a quantitative field
- 4-6 years of experience in Credit Risk Modelling, including IRB and IFRS9 and/or Credit Decision models
- Strong programming skills, preferably in Python, SAS (Base/Macro), SQL
- Experience with data sourcing, processing, and working with large datasets
- Hands-on experience or strong interest in applying AI/ML techniques in risk or analytics
- Clear and effective communication skills in English
- Proven track record in developing and implementing (credit risk) models
- Experience interacting with and advising senior stakeholders
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