ING Bank N.V.
Model Validator V
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Model Validation (Trading Book) – Lead/Senior Validator
In a dedicated Model Risk Management environment, this role supports the independent validation of Trading Book financial risk models. The focus is on XVA and related valuation methodologies used for financial derivatives, including prudent and fair valuation approaches and complex valuation adjustments. The position is performed within an international, highly collaborative setting where model validation outcomes inform model approval decisions and regulatory expectations.
As Lead/Senior Validator, you own the validation process end to end, from planning through completion. This includes challenging model developers and model owners on key risk topics, performing risk-based validations in line with the Model Risk Management Framework, and ensuring validation findings are accurately documented. You prepare high-quality validation reports for senior stakeholders and model approval committees, and you defend conclusions by clearly articulating the assessment of model soundness and risk implications.
The role also involves advising on model risk materiality, prioritisation, and remediation strategies, particularly for valuation-related gaps and model deficiencies. In addition to core validation activities, you contribute to the continuous development of the Model Validation function, including improvements to ways of working through automation and AI-enabled validation techniques. Where needed, you coach junior validators and help strengthen consistent validation practices.
The work covers validation of topics such as XVA methodologies (including prudent valuation and valuation adjustments), model areas for commodity XVA and commodity product pricing, fair and prudent valuation methodologies for IR and FX skew models within XVA, and collateral valuation adjustment approaches. You also provide guidance on broader XVA themes, including relationships between accounting and risk-based valuation measures, identification of modelling gaps, and assessment of resulting model risk implications.
Eisen
- Demonstrable expertise in XVA and the valuation of financial derivatives.
- Proven experience with Trading Book financial risk models.
- Strong quantitative background (Financial Mathematics, Stochastic Calculus, Statistics, Econometrics or a related discipline).
- Experience working in a highly regulated environment with strict governance and documentation standards.
- Knowledge of the regulatory framework surrounding Valuation Adjustments, including Additional Valuation Adjustments (AVA).
- Experience challenging first line of defence decisions.
- Hands-on experience with quantitative modelling in Python, including pandas/polars, NumPy, QuantLib and ORE.
- Knowledge of AI applications, including prompting, agentic workflows and managing AI-related risks.
Wensen
- Opportunity to drive innovation through automation and AI-enabled validation techniques.
- Coach junior validators and provide guidance on ways of working.
- Build strong relationships with model developers, risk managers and other stakeholders across Trading Book and Model Risk Management.