Private Bank – AI Analyst - VP job opportunity at Deutsche Bank.

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DatePosted 27 Days Ago bot
Deutsche Bank Private Bank – AI Analyst - VP
Experience: 5-years
Pattern: full-time
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degreeHigh School (S.S.C.E)
loacation Singapore, One Raffles Quay, Singapore
loacation Singapore, One..........Singapore

Job Description: Details of the Division and Team:     The Private Bank Transformation Team leads the modernization of client lifecycle processes across onboarding, KYC, Source of Wealth (SoW), ongoing reviews, and surveillance‑aligned activities. The team embeds advanced Artificial Intelligence (AI) capabilities—machine learning, generative AI, and agentic workflows—into core Private Banking operations. Operating through cross‑functional Agile squads, the division partners with Business, Compliance, AFC, Technology, and Data groups to deliver safe, explainable and scalable AI capabilities. The VP – AI Analyst is a senior contributor responsible for shaping and delivering AI solutions across Private Banking. The role bridges business policy owners, SMEs, and technical teams, ensuring AI solutions are compliant, explainable, and operationally effective. The VP leads end‑to‑end delivery of AI use cases—from problem definition to deployment—while setting standards for requirements, evaluation methods, and governance. What we will offer you:          A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center. You can expect: Flexible benefits plan including virtual doctor consultation services Comprehensive leave benefits Gender Neutral Parental Leave Hybrid working arrangement 25 days of annual paid leave, plus public holiday A culture of continuous learning to aid progression Your key responsibilities: 1. AI Strategy & Use Case Leadership Partner with Transformation and Business Process Owners in identification and prioritisation of AI opportunities Translate Private Banking business requirements (immediate focus is KYC processes) into AI ready requirements Partner with AI Engineers to design explainable, resilient AI workflows Maintain specifications, evaluation datasets, and guardrails. 2. Data, Insights & Model Oversight Lead data exploration and quality assessment. Guide modelling approaches, prompt design, and evaluation methods. Oversee model diagnostics and performance reviews. Contribute to shared evaluation and testing frameworks. 3. Business Alignment & Governance Act as key partner to Business, Compliance, AFC, and Audit. Ensure alignment with governance standards and regulatory expectations. Produce clear documentation and model explanations. Support risk assessment and audit readiness. 4. Cross Functional Delivery & Stakeholder Leadership Lead delivery of selected AI initiatives and manage cross team dependencies. Support requirement writing, acceptance criteria, and testing. Drive UAT with business users. Present solutions and insights to stakeholders. 5. Adoption & Change Management Oversee training, rollout, and operational readiness. Lead feedback loops and iterative improvements. Track usage, adoption, and business impact. Promote reuse of AI assets across regions and teams. Your skills and experience: Minimum 5 years of experience in AI, analytics, product, or business analysis in a financial services industry with private banking knowledge. Exposure to developing or implementing AI/ML solutions. Ability to translate business rules into structured AI requirements. Understanding of Private Banking KYC/SoW processes and controls. Familiarity with AI/ML concepts, model evaluation, and explainability. Ability to work with structured and unstructured data. Knowledge of version control, testing frameworks, and governance tools. Strong analytical judgement with a balance of innovation and risk control. Strong communication and stakeholder management skills. Experience with Agile delivery and collaborative documentation tools. Degree in Computer Science, Engineering, Business, Data Science, or a related field. About us and our teams: Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do. Deutsche Bank & Diversity We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

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