Model Risk Specialist Portfolio Management & Frameworks

Models are at the heart of how ING makes decisions, across Credit, Market, KYC, Operational, Pricing, and beyond. They are a powerful asset, and managing the uncertainties and risks that come with their use is essential to ensuring that model output leads to the right decisions and that models add business value safely.

We are looking for a hands-on, analytically driven Model Risk Specialist to join our Model Risk Portfolio Management & Frameworks team.

The team

The Model Risk Management department exists to make that happen, not through oversight alone, but by building a function that genuinely steers. Our ambition is to establish one global framework that works in practice: with clear roles and ownership across all lines of defence and locations, governance operationalised through our Model Risk Management platform rather than documents, and portfolio-level reporting that provides senior management with decision-ready risk information.

That means moving from reactive, model-by-model risk management to active portfolio steering, where prioritisation, remediation, and decommissioning decisions are driven by agreed risk metrics and forward-looking indicators, not point-in-time issues. And it means reporting that does not just describe risk, but signals clearly when escalation or intervention is required.

Roles and responsibilities

You combine deep quantitative expertise with a strategic mindset, and you are energised by translating complex risk frameworks into scalable, data-driven solutions that create measurable impact across the organisation. Specific tasks and responsibilities

• Execute the Model Risk Management Framework end-to-end: ensuring models across all domains and locations are consistently identified, classified, monitored, and assessed against a clearly defined Risk Appetite.

• Develop and leverage data-driven capabilities to identify risk concentrations, dependencies, and emerging patterns across the model portfolio, translating analytical insights into proactive, forward-looking risk assessments and concrete management actions.

• Own the shift to portfolio-level risk management: moving from reactive, model-by-model oversight to structured portfolio reviews, forward-looking risk indicators, and prioritisation decisions driven by agreed metrics.

• Turn governance into practice: shape and deliver the next generation of Model Risk tooling by defining platform requirements and translating them into clear specifications for tech team, ensuring policies are operationalised, decisions are traceable, reporting is standardised, and senior management has clear visibility of risks, hotspots, and escalations.

• Be the expert: serve as the primary advisor on the MoRM Framework, keeping it aligned with ING governance, internal risk frameworks, and regulatory developments including the EU AI Act.

• Drive accountability: influence and challenge senior stakeholders to take genuine ownership of model risk in the 1st line, leading framework changes and cross-organisational initiatives where needed.

• Build capability: design and deliver training programmes that equip stakeholders across the organisation to understand and apply the framework effectively.

How to succeed

• Master's degree (or equivalent) in a quantitative discipline, with 10+ years of experience in model risk, quantitative risk management, or a closely related field.

• Deep understanding of modelling techniques and their real-world application across risk domains such as Credit, Market, KYC, Operational, and Pricing, including hands-on experience with governance structures and regulatory interaction.

• Proven ability to work with data analytically: identifying patterns, connecting dependencies, and translating findings into clear risk assessments and actionable recommendations.

• Solid knowledge of banking risk management practices, products, and the regulatory landscape governing model use.

• Track record of leading high-impact framework, governance, or risk management initiatives from design through to delivery, across complex, multi-stakeholder environments.

• Able to influence and challenge senior stakeholders with confidence, driving genuine behavioural change and accountability rather than process compliance.

• Clear and compelling communicator: equally comfortable presenting analytical findings to a technical team and framing risk implications for senior management.

• Strategic thinker who can translate a long-term vision into concrete priorities and measurable outcomes.

Rewards and benefits
We want to make sure that it’s possible for you to strike the rig