Model Validator XVA and Counterparty Credit Risk

We are looking for a Model Validator with a primary focus on XVA and Counterparty Credit Risk. In this role, you will be responsible for the independent validation of models used to measure and manage counterparty and valuation adjustment risks, while also contributing to the broader scope of

Trading Book Financial Risk models. You will work in a highly quantitative environment, providing robust challenge, ensuring methodological soundness, and supporting strong model risk governance across the trading book.

The Team 

You will join ING’s Model Validation Financial Risk department, part of the global Model Risk Management function. We are an international, collaborative team of highly qualified professionals with a strong feedback culture, combining on-site work in Amsterdam with flexible remote working.

What you will do

In practice, you will:

• Support Trading Book financial risk models validations end‑to‑end, covering Market Risk, CCR, Pricing & Valuation, Algorithmic Trading, Valuation Adjustments, and Economic Capital & Stress Testing models.

• Act as Validator for XVA and Counterparty Credit Risk models, performing validations under guidance of a senior or lead validator.

• Perform risk‑based portfolio activities, including thematic reviews, cross‑model analyses, and identification of structural or recurring model risk drivers across the Trading Book.

• Prepare validation analyses and draft conclusions for review and sign off, translating complex quantitative analysis into concise messages for model approval committees and senior stakeholders.

• Inform senior validator and product owner regarding model validation findings, progress in the projects and impediments.

• Support model approvals and audits through analysis and documentation following the MoRM governance and policies.

• Contribute to the development of Model Validation as a function, improving ways of working, and driving innovation (e.g. automation or AI‑enabled validation techniques).

• Build and maintain effective working relationships with model developers, risk managers, and other stakeholders across the Trading Book.

What you bring

• Expertise in XVA and Counterparty Credit Risk and understanding of other Trading Book financial risk models, including derivatives pricing models.

• Strong quantitative background (financial mathematics, statistics, econometrics, or similar).

• Experience working in a heavily regulated environment with high standards for governance and documentation.

• Ability to challenge first line of defence decisions, and translate complex quantitative analysis into clear, persuasive messages for validation lead and product owner.

• A proactive, accountable mindset: you take ownership and focus on impact meeting validation deadlines.

• A collaborative attitude and genuine interest in developing yourself and others.

• Knowledge in quantitative modelling using python, C++, or other programming language.

What we offer

• A senior, high-impact role at the heart of ING’s global Trading Book risk framework.

• Active involvement in model lifecycle, and internal audit interactions.

• Strong support for continuous learning and professional development.

• Hybrid working and flexibility to balance work and private life.

• Hours: 36–40 | Contract: Permanent

Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract

• Pension scheme

• 13th month salary

• 8% Holiday payment

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us
Curious about how ING empowers people and businesses to move forward?

Discover what we do and what we can offer you.

Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.