Technical Business Analyst

Role overview

Responsibilities

• Gather and align business and technical requirements, manage expectations, and resolve cross-functional dependencies.
• Analyze processes, workflows, and data flows; assess impacts and solution options; and prepare functional and technical specifications.
• Maintain requirements, system specifications, data mappings, process flows, user stories, and acceptance criteria.
• Coordinate project deliverables, priorities, dependencies, and timelines across technology streams throughout the SDLC.
• Design and execute tests, validate and reconcile data, investigate defects, and support functional, integration, regression, and user acceptance testing.
• Support data publishing and reporting operations, investigate issues, perform root-cause analysis, and help maintain data integrity.
• Contribute to system enhancements, regulatory and reporting initiatives, workflow improvements, operational controls, and automation.
• Support development, testing, release, and post-implementation activities with business and technology teams.

Qualifications and experience

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, Business, or a related discipline.
• 3–5+ years of relevant experience in business analysis, technical analysis, systems analysis, or technology delivery.
• Strong analysis, requirements gathering, impact analysis, solution assessment, and specification-writing skills.
• Strong communication, stakeholder management, analytical, problem-solving, organizational, and time-management abilities.
• Hands-on SQL, relational database, data analysis, validation, reconciliation, and troubleshooting experience.
• Understanding of the SDLC and experience developing test cases, investigating defects, and supporting testing and releases.

Additional relevant experience

• Capital Markets products, particularly derivatives, and front-to-back trade lifecycles are listed as relevant knowledge.
• Data publishing, reporting systems, regulatory reporting, and financial data management are listed as relevant experience.
• Data integration concepts and JSON, XML, APIs, or ETL; Python, scripting, or automation; Agile; JIRA; and Confluence are listed as relevant familiarity or experience.

Culture and inclusion

• The employer describes an inclusive culture, employee resource groups, development opportunities, and commitment to accessibility and workplace accommodations.