Model Risk Specialist
Vereist:PythonAI
Finance
Business Support
Model Risk Specialist
Amsterdam
As a Model Risk Specialist at ING, you develop, maintain and validate credit risk models (IRB/IFRS9, decisioning, EWS), forecast provisions/RWA/arrears, support ESG risk and new products, and apply AI/ML with modern analytics tools in an Agile setting.
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Model Risk Specialist
Role purpose: Support the governance, validation, and ongoing monitoring of quantitative and qualitative models to ensure they are fit for purpose, compliant with internal policies, and aligned with regulatory expectations.
Core responsibilities
- Perform independent model validation, including conceptual soundness reviews, outcome analysis, benchmarking, and sensitivity testing.
- Assess model assumptions, limitations, data quality, and implementation integrity across the model lifecycle.
- Develop and maintain model risk documentation (validation reports, model inventories, testing evidence, and remediation tracking).
- Monitor model performance and stability; define and track key metrics, thresholds, and triggers for review.
- Partner with model owners, data teams, and governance stakeholders to resolve findings and strengthen controls.
- Support model risk governance processes, including policy adherence, change management, and periodic reviews.
Required skills and qualifications
- Experience in model risk management, model validation, or quantitative risk within financial services or regulated environments.
- Knowledge of common model types (e.g., credit risk, market risk, fraud, AML, forecasting) and validation techniques.
- Strong analytical skills with proficiency in tools such as Python, R, SAS, SQL, or equivalent.
- Ability to interpret regulatory guidance and translate it into practical testing and documentation standards.
- Excellent written communication for clear, audit-ready reporting and stakehold...