Senior Risk Manager, VP

Your key responsibilities

• Identification and classification of models and AI use cases across business processes, including the assessment and assignment of inherent risk ratings in accordance with established governance standards.
• Contribute to the enhancement of DWS model risk appetite and model risk management framework definition.
• Support the development, implementation and continuous enhancement of DWS AI risk appetite and AI governance framework.
• Engage model and AI use-case owners/users/developers for the collation and ongoing maintenance of the DWS Model and AI Inventory, including the execution of periodic attestation exercises.
• Implement and oversee model risk and AI governance processes, including risk assessments, monitoring activities, and reporting to relevant governance committees and oversight forums.
• Engage with regulators and internal/external audit on model risk and AI risk management topics.
• Coordinate the preparation, consolidation, and distribution of materials for model and AI governance forums, ensuring high-quality reporting for senior stakeholders.
• Partner with Technology and business stakeholders to design, implement, and enhance the firm's strategic AI inventory and governance workflow solutions.
• Collaborate with Model Validation teams to establish validation priorities across in-house and third-party/vendor models, considering regulatory requirements, internal policies, and evolving industry standards.
• Support the management of the model approval process, administration for initial use approval, subsequent approvals and model change oversight
• Review model validation reports, findings, and recommendations, while monitoring remediation progress and providing management reporting on outstanding issues and actions.
• Support governance and workflow activities associated with the review, approval, and oversight of AI use cases prior to production deployment and throughout their lifecycle.

Your skills and experience

• Demonstrated expertise in Model Governance, AI Governance, and Model Risk Management within complex and highly regulated environments.
• Deep understanding of Model Risk and AI Risk regulatory expectations, supervisory guidance, and industry-leading practices.
• Extensive experience in developing and maintaining policies, procedures, governance frameworks, management information reporting for senior executives and oversight committees.
• Outstanding stakeholder management and interpersonal skills, with a proven ability to build trusted relationships and collaborate effectively across functions, geographies, and levels of seniority.
• Recognized as a strategic and trusted advisor, with a strong track record of leading transformational initiatives, driving organizational change, and fostering sustainable adoption of new processes, frameworks, and technologies.
• Master’s degree in Finance, Economics, Business Administration, Risk Management, Accounting, Mathematics and related discipline, or equivalent professional experience within a financial services, risk management, or regulatory environment.

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

• Training and development to help you excel in your career.
• Coaching and support from experts in your team.
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.