Business Analyst/AI Translator, Credit Risk
Deutsche Bank
- Location
- Mumbai
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 27, 2026
Skills
About this role
Job Description
Job Title: Business Analyst/AI Translator, Credit Risk Corporate Title: AVP Location: Mumbai, India Role Description You will be working with the Risk Innovation & Change Team within Deutsche Bank's CRO function, a team responsible for driving strategic & regulatory transformation and process re-engineering across the End-to-End (E2E) credit life cycle. This role is at the forefront of a CRO (Chief Risk Office) wide initiative to enhance and automate E2E workflows by embedding Artificial Intelligence (AI) into our core processes. You will be instrumental in translating complex business needs into effective AI prompts and instructions, working closely with business and technology colleagues to define the vision, operating model, and requirements for our AI-driven future. You will support the CRM AI Lead/Change Execution Director and work with delivery teams across Risk, Group Strategic Analytics (GSA) & Technology. You will be responsible for AI development within projects, including writing and testing effective prompts, analysing and iterating on AI-generated outputs, and continuously improving them to align with the optimal target state, supported by feedback from key subject matter experts (SMEs). 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 Business Requirement Elicitation & AI Translation: Engage with SMEs to analyze new use cases, elicit business requirements, and convert them into clear, effective AI prompts and instructions. AI Pipeline Management & Output Iteration: Operate and refine AI pipelines, continuously improving output based on SME and business partner feedback. Project Delivery & Accountability: Be responsible and accountable for the delivery of agreed project outputs to the agreed time, quality, and scope parameters, managing the activity of Credit SMEs, technical experts, and analysts. AI Quality Monitoring & Process Improvement: Oversee AI performance, monitor output quality, design AI-embedded processes, track adoption, and drive continuous enhancements. Documentation & Compliance: Document AI-driven workflows and control checks in line with Model Risk Management (MoRM) requirements to ensure compliance and support validation/testing. Testing Strategy & Execution: Design and implement/support robust testing strategies for AI solutions, leveraging expertise in MoRM principles. Stakeholder Management & Communication: Drive communication between business divisions and solution providers, prepare presentations for senior management, and maintain strong relationships with program sponsors and stakeholders to align on process design and delivery priorities. Your skills and experience Education and Experience University degree in Business Administration, Technology, Engineering (or comparable qualification) 6-8 years of combined professional experience in the financial industry, with a strong emphasis on the following areas: Credit Risk Management: Deep subject matter expertise in credit risk functions, including end-to-end credit lifecycle processes, risk assessment, and regulatory frameworks. AI/Technology Implementation: Demonstrable experience as a business analyst or a similar role driving technology-driven change. Direct experience with AI, machine learning, or large language model (LLM) implementation projects is highly desirable. Project Management: Proven track record of supporting or managing complex, large-scale projects, preferably using Agile methodologies, from inception to delivery.