Senior Risk Manager, VP at Deutsche Bank in Bangalore Velankani ISC
- Company: Deutsche Bank
- Location: Bangalore Velankani ISC
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-12
All open roles at Deutsche Bank
Job description
Job Description: Job Title: Senior Risk Manager Corporate Title: Vice President Location: Bangalore, India Role Description As a Vice President – Senior Risk Manager, the role holder will act as a key contributor to the Model Risk and AI Risk Governance workstream. Supporting the delivery of the team’s strategic and regulatory objectives. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above 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 w
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