Risk Model Oversight Expert
Pubblicato il 17-10-2026 - ING ITALIA in Milano
Group‑level expert role at ING with oversight of regulatory credit risk models, including IRB and IFRS 9. The role covers oversight of model changes, On‑Site Inspections and Internal Model Investigations, with direct interaction with the ECB and external auditors. You will support, advise and challenge senior Risk Management and Model Development teams, exercising independent technical judgement on model risk, methodology and supervisory expectations.
The Team
The team is ING’s center of expertise for regulatory credit risk models and on‑site inspections, providing Group‑level oversight of credit risk model strategy across global and local IRB and IFRS 9 models. It coordinates local model development activities across ING, ensuring alignment with Group methodological standards and regulatory requirements.
The team leads on‑site inspections and model investigations, supports senior internal stakeholders with deep subject‑matter expertise, and coordinates technical engagement with the ECB and external auditors.
You will join an experienced international team with diverse backgrounds in credit risk modelling and supervision, working collaboratively on complex regulatory and modelling challenges at Group level.
Roles and Responsibilities
Senior content‑driven expert responsible for Group‑level oversight of regulatory credit risk model changes, supporting, advising and challenging senior Risk Management and Model Development teams on IRB and IFRS 9 models, while exercising independent technical judgement on model risk, methodology and supervisory expectations.
Specific Tasks and Responsibilities
- Oversee changes to regulatory credit risk models and rating systems at Group level, acting as both advisor and controller.
- Perform advisory and quality‑assurance reviews of IMIs and on‑site inspections, including coordination of supervisory submissions, presentations and Q&As.;
- Manage senior internal stakeholders across the end‑to‑end credit risk model lifecycle globally, as