BA Trade&Cash - Virtusa

Job Description: Business Analyst NeoCorp Conversational AI (Cash & Trade) Function: AI CoE / NeoCorp Delivery Program 1. Role Overview Business Analyst responsible for defining, documenting, and delivering business requirements for the NeoCorp Conversational AI program, covering Cash Management and Trade Finance journeys. The role will bridge Corporate Banking, AI CoE, and engineering teams to design conversational workflows, ensure regulatory alignment, and drive successful implementation on platforms like TADA/NeoCorp. 2. Key Responsibilities A. Business Requirement and Process Analysis Engage stakeholders across Cash Management & Trade Finance to gather requirements Translate business flows into conversational journeys and user interaction models Document AS-IS / TO-BE process flows, including automation opportunities Define clear functional and non-functional requirements for AI agents B. Conversational AI Journey Design Break down banking use cases into step-by-step conversational flows Define: o Intents, entities, prompts, and responses o Decision logic and branching scenarios Work with AI/engineering teams to align with: o MCP tools o APIs (payments, trade workflows, document processing) Classification: Internal Use Ensure journeys support: o Natural language interaction o Context handling o Multi-step workflows C. Domain Expertise Cash and Trade Own requirement clarity across: o Cash: Payments, transaction queries, statements, FX, etc. o Trade: LC, guarantees, trade transactions, document flows Support new build journeys for Trade and enhancement/standardization for Cash D. Collaboration and Delivery Act as interface between: o Business (RMs, Ops, Product Owners) o AI CoE / Agent engineering teams o Vendors (if applicable) Support: o Sprint planning o Backlog creation (user stories, acceptance criteria) o UAT coordination E. Governance and Compliance Ensure requirements align with: o AI governance standards (risk, auditability, controls) o Data security and access controls Define: o Audit trails for AI decisions o User access and role-based constraints Support AI validation / governance checkpoints Classification: Internal Use F. Testing and Validation Define test scenarios and UAT cases for conversational journeys Validate: o Conversation accuracy o Business rule adherence o Integration outputs Work on defect triaging and closure 3. Key Deliverables BRDs / FRDs / User Stories Conversational journey maps API & integration requirements Test cases & UAT sign-offs AI governance and validation inputs 4. Required Skills and Experience Domain Expertise Strong experience in Corporate Banking Mandatory knowledge of Cash Management and Trade Finance within corporate banking. Functional and Business Analysis Skills Requirement gathering, stakeholder management Experience in Agile delivery (Scrum / SAFe) Process modelling tools (Visio, BPMN, etc.) Technology and AI Exposure Conversational AI / chatbot platforms Understanding of: o APIs & integrations Classification: Internal Use o AI/LLM concepts (RAG, prompts, workflows) Experience in digital channels or banking platforms is preferred. 5. Behavioral Competencies Strong communication across business & tech Ability to work in ambiguity (POC MVP scale) Analytical thinking with focus on automation and efficiency Stakeholder influence across Corporate Banking senior stakeholders 6. Experience and Qualifications 6 10+ years as Business Analyst Banking domain experience, preferably within Corporate Banking Experience in digital / transformation / AI projects is a plus 7. Reporting and Working Structure Works under AI CoE / NeoCorp delivery program Closely collaborates with: o Product Owners o AI Engineers / Agent builders o Risk & Governance teams