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# Trade Business Analyst

- **Company:** Tata Consultancy Services Limited
- **Location:** Tampa, FL, United States
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Confluence, JIRA, Microsoft Azure, Database Queries, SQL Databases, Test Case, Transaction Data, Microsoft Power Automate, Prompt Engineering
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d77eb1e4e77dd60f

## About the Role

Must Have Technical/Functional Skills

 * Strong experience in Agile / Scrum methodology

 * Excellent stakeholder communication and collaboration

 * Strong analytical and problem-solving skills

 * Effective documentation and presentation skills

 * Basic understanding of GenAI concepts

 * Experience with tools like Microsoft Copilot / Azure OpenAI

 * Knowledge of prompt engineering fundamentals

 * Ability to map business problems to AI/GenAI solutions, Qualifications : BACHELOR OF COMPUTER SCIENCE

## Description

SQL for data querying, analysis, and validation
Tools: JIRA, Confluence

 * Roles & Responsibilities

 * Gather, analyze, and document business and functional requirements across the end-to-end trade lifecycle (Front, Middle, Back Office)

 * Act as key liaison between business stakeholders (trading, operations, compliance) and technology teams

 * Drive deep understanding of trade lifecycle processes including trade capture, confirmation, settlement, reconciliation, and asset servicing

 * Perform process analysis and identify optimization / automation opportunities across trade operations

 * Support solution design and functional workflows in collaboration with architecture and development teams

 * Create and maintain BRD, FRD, user stories, and process flow documentation in Agile environments

 * Conduct data analysis, validation, and reconciliation for trade and transaction data

 * Lead/support SIT/UAT testing, test case creation, and defect resolution

 * Identify and implement GenAI use cases (documentation automation, trade exception analysis, insights generation)

 * Collaborate with AI teams on prompt design, validation, and business alignment of AI outputs

 * Ensure adherence to regulatory and compliance requirements (financial regulations, messaging standards)

 * Drive stakeholder communication, governance updates, and issue resolution


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