Having knowledge of credit risk modelling concepts such as PD, LGD, EAD, IRB, and IFRS9.
Having experience with Data Quality, Data Governance, or BCBS239-related initiatives.
Having experience leading cross-functional projects and coordinating complex stakeholder landscapes.
Having experience building management reporting, dashboards, or executive-level presentations.
Having worked in an Agile environment and actively contribute to continuous improvement initiatives.
Your responsibilities
Analyze data quality results and identify trends, root causes, risks, and improvement opportunities.
Interpret analytical findings and translate them into meaningful business insights and actionable recommendations.
Coordinate cross-functional activities and ensure alignment between stakeholders, requirements, and deliverables.
Gather, challenge, and align business and regulatory requirements with relevant stakeholders.
Facilitate discussions, drive decisions, and ensure alignment across cross-functional teams.
Prepare high-quality reports, presentations, and decision materials using Microsoft Office tools.
Ensure timely communication and reporting to stakeholders.
Track project progress, dependencies, risks, actions, and deliverables.
Document methodologies, governance processes, requirements, decisions, and outcomes.
Continuously challenge existing processes and identify opportunities for improvement and simplification.
Build and maintain strong working relationships with stakeholders across the organization.
Information about the team
Credit Risk Model Development is an international, global team (more than 400 risk experts) located in different locations in Europe (e.g., Amsterdam, Milan, Warsaw). The key responsibility is development of robust credit risk models firmly embedded in the regulatory environment.
The role naming convention in the global ING job architecture will be "Data Scientist II”.
