Model Validator

Model Validator | XVA

Hours per week: 36 hours

Region: Amsterdam, Netherlands

Salary range: €9,000 – €10,500 gross per month

Start date: 3 August 2026

Duration: Until 31 December 2026, with possible extension

Working model: Hybrid

For a leading financial institution in Amsterdam, we are looking for a Model Validator. In this role, you will be part of the Model Validation Financial Risk department within the global Model Risk Management function. You will play a leading role in the independent validation of complex XVA models, valuation methodologies and valuation adjustment frameworks within the Trading Book.

This is a senior and highly specialised role for an experienced quantitative professional with deep expertise in XVA, financial derivatives, model validation and regulatory requirements. You will own end-to-end validation projects, challenge model developers and model owners, and ensure that models comply with internal model risk policies and regulatory expectations.

This assignment offers the opportunity to work on highly complex XVA model validation topics within a leading financial institution. You will have a senior role in challenging quantitative models, advising stakeholders on model risk and contributing to validation standards in a regulated banking environment.

You will join a specialised Model Risk Management environment where quantitative depth, independent judgement, regulatory quality and innovation are key.

Planning

Start date: 3 August 2026

As a Model Validator, you will lead independent validation projects focused on XVA models, prudent valuation, fair valuation and out-of-scope methodologies. You will work closely with model developers, model owners, risk specialists and senior stakeholders.

Your responsibilities will include:

Leading end-to-end validation of XVA models and valuation adjustment methodologies.

Validating prudent valuation, fair valuation and out-of-scope methodologies.

Preparing high-quality validation reports in line with regulatory expectations, including ECB/JST requirements.

Challenging model developers and model owners throughout the validation lifecycle.

Advising stakeholders on model risk materiality, prioritisation and remediation strategies.

Coaching junior validators and contributing to continuous improvement within Model Validation.

Supporting innovation initiatives, including automation and AI-enabled validation techniques.

Ensuring compliance with Model Risk Policy and internal validation standards.

For this assignment, we are looking for an experienced Model Validator with strong quantitative expertise, a critical mindset and the ability to operate effectively in a highly regulated environment.

You meet the following requirements:

Deep expertise in XVA and the valuation of financial derivatives.

Strong understanding of Trading Book financial risk models.

Strong quantitative background in financial mathematics, stochastic calculus, statistics, econometrics or a related discipline.

Experience within a highly regulated environment with strong governance and documentation standards.

Knowledge of valuation adjustment regulation, including Additional Valuation Adjustments (AVA).

Proven ability to challenge first line of defence decisions.

Strong communication skills, with the ability to explain complex quantitative analyses to senior stakeholders.

Hands-on experience with quantitative modelling in Python, including libraries such as pandas/polars, NumPy, QuantLib and/or ORE.

Knowledge of AI applications within quantitative modelling and validation, including prompting, agentic workflows and AI risk management.

Project focus

In this role, you will work on validations involving:

XVA out-of-scope methodologies and associated prudent and valuation adjustments.

XVA modelling for commodities, including the Gibson-Schwartz model and commodity product pricing.

Fair and prudent valuation methodologies for IR and FX skew models within XVA.

Collateral Valuation Adjustment models.

General XVA modelling topics, including the relationship between Accounting CVA and FRTB CVA.

Identification of modelling gaps and assessment of model risk implications.