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Finance
Business Support
13-08-2026
9.257 - 13.224
Senior
Amsterdam
As a Head of AI & Analytics Model Risk at ABN AMRO, you lead the Model Risk Management Framework and validation for AI/analytics models, steer risk reporting and findings closure, strengthen governance, and drive the shift to risk-aware prioritization across the bank.
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Automatisch verbeterd voor betere leesbaarheid
Head of AI & Analytics Model Risk
Role purpose: Lead the enterprise model risk framework for AI, machine learning, and advanced analytics models to ensure safe, compliant, and well-governed model development, validation, deployment, and monitoring. Core responsibilities - Define and own the model risk management strategy, policies, standards, and controls for AI/ML and analytics models. - Oversee independent model validation, including conceptual soundness, data quality, performance testing, and outcome analysis. - Establish model inventory, tiering, documentation standards, and approval governance (e.g., committees, sign-offs, exceptions). - Implement ongoing monitoring for model drift, bias, stability, explainability, and performance; drive remediation plans. - Partner with data science, engineering, product, compliance, and audit teams to embed risk controls across the model lifecycle. - Manage regulatory engagement, audit readiness, and reporting on model risk metrics and key issues. - Build and lead a high-performing team; set priorities, operating cadence, and capability roadmap. Required skills and experience - Deep expertise in model risk management for AI/ML, statistical models, and analytics in regulated environments. - Strong knowledge of model validation methods, governance, documentation, and control testing. - Understanding of fairness, bias, explainability, privacy, and responsible AI principles. - Ability to communicate complex technical risk to senior stakeholders and regulators. - Leade...
Business Support
13-08-2026
9.257 - 13.224
Senior
Amsterdam
As a Head of AI & Analytics Model Risk at ABN AMRO, you lead the Model Risk Management Framework and validation for AI/analytics models, steer risk reporting and findings closure, strengthen governance, and drive the shift to risk-aware prioritization across the bank.
Direct solliciteren Neem contact op
Automatisch verbeterd voor betere leesbaarheid
Head of AI & Analytics Model Risk
Role purpose: Lead the enterprise model risk framework for AI, machine learning, and advanced analytics models to ensure safe, compliant, and well-governed model development, validation, deployment, and monitoring. Core responsibilities - Define and own the model risk management strategy, policies, standards, and controls for AI/ML and analytics models. - Oversee independent model validation, including conceptual soundness, data quality, performance testing, and outcome analysis. - Establish model inventory, tiering, documentation standards, and approval governance (e.g., committees, sign-offs, exceptions). - Implement ongoing monitoring for model drift, bias, stability, explainability, and performance; drive remediation plans. - Partner with data science, engineering, product, compliance, and audit teams to embed risk controls across the model lifecycle. - Manage regulatory engagement, audit readiness, and reporting on model risk metrics and key issues. - Build and lead a high-performing team; set priorities, operating cadence, and capability roadmap. Required skills and experience - Deep expertise in model risk management for AI/ML, statistical models, and analytics in regulated environments. - Strong knowledge of model validation methods, governance, documentation, and control testing. - Understanding of fairness, bias, explainability, privacy, and responsible AI principles. - Ability to communicate complex technical risk to senior stakeholders and regulators. - Leade...