Risk Model Oversight Expert

Overview

In this role you will lead Group-level oversight of regulatory credit risk models (IRB and IFRS 9), advising senior Risk Management and Model Development teams while applying independent technical judgment on model risk and supervisory expectations. You will coordinate changes, reviews and governance with internal stakeholders and external regulators, including the ECB and auditors. You'll work with a cross-functional, international team on complex regulatory and modelling challenges to ensure alignment with Group standards. This role offers a meaningful impact on bank-wide risk governance and regulatory compliance.

Retribuzione / Benefits

• Super flexible smart working
• Competitive base salaries
• Diverse cultures & innovative mindsets
• International environment
• Commitment to sustainability
• Training and development opportunities

Responsabilità

• Oversee changes to regulatory credit risk models and rating systems at Group level, acting as advisor and controller
• Perform advisory and quality-assurance reviews of IMIs and on-site inspections, coordinating submissions, presentations and Q&As
• Manage senior internal and external stakeholders (ECB, external auditors) across the model lifecycle
• Represent ING in IMIs, on-site inspections and regulatory discussions related to credit risk models

Requisiti fondamentali

• Master's degree
• 6–12 years of experience in credit risk modelling, supervision or closely related fields
• Broad hands-on expertise in credit risk modelling with IRB and IFRS 9 frameworks understanding
• End-to-end perspective of the regulatory credit risk model lifecycle
• Strong knowledge of capital requirements regulation, credit risk policies and model risk frameworks
• Strong quantitative judgment and ability to assess analyses with supervisory context
• Effective communication with senior stakeholders and supervisory authorities
• Effective communication with senior stakeholders
• Pragmatic policy and methodology development
• Independent thinking with supervisory mindset
• Credit risk modelling (IRB, IFRS 9)
• Statistical depth and quantitative analysis
• Model governance and risk management