Assistant Vice President - Local Credit Grading Model Owner (gn)
For our client, a leading global universal bank with its European headquarters in Frankfurt, we are currently looking for an Assistant Vice President - Local Credit Grading Model Owner (gn).
The role is centered on supporting the effective oversight and maintenance of internal credit grading models within the established model risk management framework. Responsibilities include coordinating with global and local model owners, validators, auditors, senior management, and regulators to ensure models are properly developed, implemented, and monitored.
Tasks
* Support the effective management of local credit grading models by assisting the Head of Local Credit Grading Model Owner in the planning, execution, and documentation of all model-related activities in line with governance and model risk management standards
* Coordinate communication with key stakeholders—including senior management, global and regional model owners, model developers, users, validators, and auditors—to ensure transparency, alignment, and timely issue resolution
* Contribute to the ongoing monitoring of credit grading models by performing analyses, preparing documentation, and supporting timely completion of required assessments
* Maintain and enhance local Model Development Documents (MDDs) to ensure accuracy, clarity, and compliance with internal and regulatory expectations
* Support the remediation of findings raised by validators, auditors, and regulators by tracking corrective actions and assisting in validating the effectiveness of implemented solutions
* Assist in activities across the full model lifecycle, including attestations, change requests, user surveys, implementations, and decommissioning
* Enhance model risk management and governance processes by identifying improvement opportunities and strengthening documentation and control practices
Requirements
* Approximately three years of professional experience as a model owner, model developer or model validator, preferably with a focus on credit risk models
* Strong familiarity with ECB, EBA and German regulatory requirements, including CRR3, Definition of Default, Loan Origination and Monitoring, and MaRisk
* High level of technical proficiency, including advanced skills in Excel, Word, PowerPoint and programming languages (R, Python, SAS), complemented by database experience (MS Access, SQL) and data visualization exposure (Power BI)
* Strong analytical and problem-solving capabilities
* Excellent communication and presentation skills, both written and verbal