Remote AI Model Governance & Validation Specialist

Commerzbank Gruppe; Łódź; Hybrid; PLN 200,000 - 260,000; Full time

Benefits offered by this job

Medical care

MultisportPlus Card

Relocation packages

Annual bonus

Flexible working time

Car subscription

Travel allowance

Job summary

Commerzbank is seeking an AI Model Governance and Validation Specialist to join the Model Risk Management (MRM) team in Poland. You will help establish governance, perform independent validations, and support the AI governance framework across AI/ML use cases.

The role requires knowledge of AI/ML techniques, risk management, and collaboration with business units to identify controls and remediation actions.

Qualifications

• Solid understanding of banking and regulated industry.
• Knowledge of AI/ML techniques (e.g., decision trees, random forests, gradient boosting, neural networks).
• Familiarity with AI/ML regulations (e.g., EU AI Act) and evolving finance regulations.
• Strong analytical and technical skills with data analysis tools.
• Experience in model risk management, development, or validation is a plus.

Responsibilities

• Develop and enhance the risk management framework for AI/ML in line with advances in AI technologies.
• Lead the implementation of AI governance and model risk standards with use case owners and stakeholders.
• Assess risks from AI usage (bias, fairness, explainability) and identify control gaps and mitigations.
• Plan and perform independent validations or provide expert guidance to business units; review documentation and prepare reports.
• Support inventory management and transparent model risk reporting for AI systems and use cases.

Skills

Python

R

SQL

Education

University degree in Computer Science or quantitative discipline

Job description

Commerzbank is seeking an AI Model Governance and Validation Specialist to join the Model Risk Management (MRM) team in Poland. You will help establish governance, perform independent validations, and support the AI governance framework across AI/ML use cases.

The role requires knowledge of AI/ML techniques, risk management, and collaboration with business units to identify controls and remediation actions.