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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on model risk management and AI governance in a bank, including model validation and implementation of AI governance frameworks. Required are regulatory and banking context plus knowledge of AI/ML (decision trees, random forests, gradient boosting, neural networks) and analytical tools Python, R, SQL. Responsibilities include developing the risk framework, implementing standards, assessing risks (bias, explainability), planning and performing independent validations, reviewing documentation, reporting and supporting model inventory. Benefits include private medical care, training budget and remote work.
from: 28 September 2026
to: 28 October 2026
salary not specifiedcontract of employment (full-time)
Requirements
Expected technologies
Python
R
SQL
Our requirements
- 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) would be an advantage.
- Knowledge of AI/ML techniques, including decision trees, random forests, gradient boosting, neural networks, and related methodologies.
- Familiarity with existing AI/ML regulations (e.g. EU AI Act) and their application and appreciation of developing regulations within the finance industry.
- 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 would be considered a strong asset.
- A university degree in Computer Science, Mathematics, Statistics, Data Science, Econometrics, Engineering, Physics, or another quantitative discipline.
Your responsibilities
- Continuously develop and enhance the risk management framework in line with advances in AI/ML technologies, including Agentic AI, while taking into account evolving regulatory requirements.
- Drive the implementation of AI governance and model risk standards in close collaboration with use case owners, model developers, and other stakeholders, helping to foster a strong risk-aware culture across the organization.
- Understand business processes and use cases to assess key risks from use of AI techniques, including bias, fairness, explainability, and model limitations. Identify control gaps and recommend appropriate risk mitigation measures.
- Plan and perform independent validations of AI/ML use cases, or provide expert support and guidance to business units in their validation activities. Review technical documentation, evaluate model implementation and monitoring processes, prepare validation reports, communicate findings, recommend remediation actions, and provide clear executive-level summaries.
- Support the effective inventory management of AI systems and use cases, ensuring timely and accurate model risk reporting.
About the project
The Model Risk Management (MRM) team within Enterprise Risk Management is responsible for establishing governance and controls to manage risks arising from the use of models across Commerzbank. Our mission is to ensure confidence in the models that support business decision-making, identify and mitigate model-related risks, and maintain compliance with regulatory requirements.
As the second line of defence for model risk and AI governance, MRM defines and maintains model risk management standards, performs independent validations, and leads the Bank’s AI governance framework.
The MRM team is responsible for managing and reporting model risks across all model families, ranging from established financial and risk models to emerging AI and machine learning solutions. In this role, you will help strengthen the Bank’s capabilities in the governance, control, and validation of AI/ML use, contributing to a robust, risk-based approach that fosters trust in Commerzbank’s rapidly expanding AI landscape.
This is how we organize our work
This is how we work
in house
Benefits
- private medical care
- sharing the costs of professional training & courses
- life insurance
- remote work opportunities
- flexible working time
- integration events
- corporate sports team
- retirement pension plan
- preferential loans
- no dress code
- video games at work
- coffee / tea
- leisure zone
- pre-paid cards
- redeployment package
- employee referral program
- extra leave
- Multisport
- Skills@Work - personal & professional development program
- Employee Assistance Program (psychological support)
- E-learning platform: O'Reilly, library, tutorials
Recruitment stages
- 1.CV review
- 2.Recruiter interview
- 3.Hiring manager interview
- 4.Offer extended
Commerzbank AG
Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so we are. We are leaving the traditional bank behind us and are choosing to move forward as a digital enterprise. This is exactly why we need talented people who will join us on this journey. We work in inter-locational and international teamwork in agile methodologies.
This is how we work
AI Model Governance and Validation Specialist (m/f/d)
I apply to:
Commerzbank AG
Łódź, Bałuty
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