Business Analyst/AI Translator, Credit Risk
Deutsche Bank is hiring a Business Analyst/AI Translator, Credit Risk in Mumbai, India. Level rates it ; you can apply on Level.
AI in this role
Drive AI transformation in credit risk workflows by translating business needs into effective AI prompts and managing AI pipelines.
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.
Hands-on experience in translating complex business requirements into technical specifications, with a specific focus on developing and refining prompts for AI or generative AI systems.
Proven experience in business adoption and navigating regulatory approval processes for new technologies or systems.
Competencies
Financial & Business Acumen: Expertise in credit risk concepts, including an end-to-end understanding of credit workflows & processes
AI Translation & Prompt Engineering: Demonstrable ability to convert complex business needs into effective AI prompts and iteratively improve outputs to achieve desired results.
Data Interpretation & Analysis: Strong analytical and problem-solving skills with the ability to analyse diverse data sources, manipulate large datasets, and validate AI-generated results.
Risk Management & Compliance Documentation: Trained on MoRM principles with experience in documenting workflows for validation and testing; proven ability to assess and mitigate program risks and dependencies.
Stakeholder Management & Communication: Excellent English written and communication skills, with the ability to effectively communicate with a diverse range of stakeholders, including senior management, SMEs, and business partners.
Process Management: Proficient in understanding AI-embedded processes, facilitating adoption, and driving continuous improvement in a complex, matrixed organization.
Ability to work well under pressure with tight deadlines and challenge stakeholders to ensure the delivery of efficiencies.
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 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.
How we rate this
Business Analyst/AI Translator, Credit Risk at Deutsche Bank rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical business analyst job
- $108k
This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Tell me about a project where process reengineering was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where business analysis was part of your work. What did you do?
- Walk me through how you've used AI Pipelines in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, Process Reengineering, Risk Management, Business Analysis, and AI Pipelines. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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