Data Modeler @ING Hubs Romania
Core
Design and implement standardized, automated Analytical Base Table (ABT) solutions to transform manual data sourcing into efficient, compliant risk model development and reporting.
Role type
Senior Data Modeler (Retail Risk)
Builds
Automated Analytical Base Tables (ABTs) and scalable data integration solutions for Retail Risk.
Domain
Banking / Retail Risk / Data Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, Data warehousing, Data lineage, Data mapping, Source-to-target transformations, Credit risk domain expertise, Requirements gathering, Stakeholder collaboration, Strategic planning, Agile methodology
Preferred skills
Credit risk reporting (PD, LGD, EAD), BCBS239, Data governance, SAS, SQL
Technologies
Data Catalogue, Data Warehousing, SQL, SAS
Responsibilities
Analyze and document existing Retail Risk data sourcing processes; Collaborate with stakeholders to define requirements for Risk ABTs; Identify and assess source systems and data dependencies; Define target-state data flows and support automated data integration design; Prioritize business, functional, and data requirements; Translate future opportunities into concrete strategies.
Seniority
Senior, hands-on IC
