Join EY and build a career where your unique perspective is valued, contributing to a better working world. This Senior Business Analyst role focuses on data-led technology initiatives within Wealth & Asset Management and Capital Markets.

The position requires hands-on execution in requirements analysis, data mapping, SQL investigations, API understanding, comprehensive documentation, and effective testing support. You'll collaborate closely with both business and technology teams to deliver solutions.

Key contributions will involve developing consolidated order/trade data stores, integrating multiple asset classes, designing workflows, and performing detailed data-flow analysis. An AI-assisted approach to analysis and documentation is integral to this role.

Gather, interpret, and meticulously document business, functional, technical, and data requirements from various sources. Analyze order, trade, portfolio, client, market, and reporting data across diverse systems and business lines. Develop critical deliverables including BRDs, FRDs, user stories, acceptance criteria, process flows, and data mappings. Perform detailed source-to-target mapping, field-level analysis, data profiling, SQL querying for validation, and reconciliation. Collaborate with technology teams on database needs, API specifications, data formats like JSON/XML, and integration points. Provide essential support to development and QA teams by clarifying requirements, resolving queries, reviewing test scenarios, and validating coverage. Facilitate SIT/UAT, analyze defects, track issues, coordinate remediation, and ensure business sign-off. Utilize Agile methodologies for backlog refinement, sprint planning, reviews, and status updates. Leverage GenAI tools responsibly to enhance productivity in drafting requirements, summarizing analyses, preparing tests, and improving documentation quality.

A minimum of 5-8 years of experience as a Business Analyst, Technical Business Analyst, Data Analyst, or Technology Consultant is essential. Prior experience within Financial Services, particularly in Wealth Management, Asset Management, Capital Markets, trading, or investment platforms, is highly preferred. Possess a solid understanding of the order/trade lifecycle and familiarity with various asset classes. Demonstrate hands-on experience in data mapping, analysis, validation, reconciliation, and issue investigation. Exhibit strong SQL proficiency for querying, data validation, and root-cause analysis. Understand REST APIs, web services, JSON/XML, and system integration concepts, with experience using tools like Postman. Proven ability in creating key documentation such as BRDs, FRDs, and user stories. Familiarity with SDLC, Agile, Scrum, Jira, or similar ALM tools, and documentation platforms like Confluence is required. A practical AI-native mindset, including experience with tools like Microsoft Copilot or ChatGPT, is beneficial.