AI Model Governance and Validation Specialist (m/f/d)
On-siteŁódź, Łódź Voivodeship, Poland
Job Summary
Develop and enhance the model risk management framework for AI/ML technologies, including Agentic AI, while aligning with evolving regulatory requirements. Drive implementation of governance standards by collaborating with model owners and developers to foster a risk-aware culture. Assess key model risks such as bias, fairness, and explainability to identify control gaps and recommend mitigation measures. Plan and perform independent validations of AI/ML models, reviewing technical documentation, evaluating implementation processes, and preparing executive-level reports with remediation recommendations. Support effective inventory management of AI systems to ensure accurate model risk reporting. This role supports Commerzbank's robust, risk-based approach to its rapidly expanding AI landscape within the Enterprise Risk Management team.
Required Qualifications
- A university degree in Computer Science, Mathematics, Statistics, Data Science, Econometrics, Engineering, Physics, or another quantitative discipline
- Knowledge of AI/ML techniques, including decision trees, random forests, gradient boosting, neural networks, and related methodologies
- Strong analytical and technical skills, including proficiency in Python, R, SQL, or equivalent tools, as well as hands-on experience with data analysis
- Familiarity with model risk concepts and an understanding of the unique risks associated with AI/ML models
- Previous experience in model risk management, model development, or model validation
- A solid understanding of banking, financial services, or another regulated industry
- Knowledge of financial products and the role of models in key banking processes (e.g., ICAAP, ILAAP, valuation, credit decision-making, and compliance)
Desired Qualifications
- Knowledge of AI/ML techniques, including decision trees, random forests, gradient boosting, neural networks, and related methodologies
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