Senior Business Analyst, Product Development

Responsibilities

• Partner with stakeholders across surveillance, compliance, operations, and technology to gather, document, and validate business and system requirements.
• Produce BRDs, FRDs/FRSs, use cases, and process flows that are specific, testable, and free of implied design decisions.
• Translate regulatory and business concepts - such as surveillance frameworks, exchange reporting obligations, and market abuse indicators - into clear specifications for engineering teams.
• Serve as a subject matter expert for development and QA teams throughout design, testing, and implementation.
• Support Product Management on roadmap planning, prioritization, and initiative definition.
• Data and Analysis
• Extract and analyze data using SQL, Python, Excel, Splunk, and ServiceNow.
• Validate data accuracy and present findings to stakeholders and senior management in a format appropriate to the audience.
• AI-Assisted Analysis and Documentation
• Apply AI and generative AI tools to requirements drafting, stakeholder discussion summarization, and documentation review as a routine part of the workflow.
• Stay current with developments in AI-assisted analysis and documentation and identify practical applications for the team.
• Operations and Support
• Support incident management, root cause analysis, and resolution of operational issues.
• Provide end-user training and documentation to support system adoption.
• Manage workload independently across competing priorities in a fast-paced environment.

Requirements and Qualifications

• Bachelor’s degree in Computer Science, Finance, Mathematics, Business, or a related discipline.
• 5+ years of experience as a Business Analyst or Senior Business Analyst within a financial institution, exchange, or market infrastructure environment.
• Strong foundational business analysis skills.
• Modern, AI-enabled approach to work - integrating AI-assisted tools into day-to-day workflows to improve speed, consistency, and quality of requirements and documentation.
• Demonstrated ability to apply AI or generative AI tools to requirements and documentation work - including drafting structured requirements, summarizing discussions, and reviewing documents for consistency.
• Strong SQL skills for data analysis; Python experience is an advantage.
• Excellent written and verbal communication skills, including the ability to make complex regulatory or technical concepts accessible to a non-specialist audience.
• Experience facilitating stakeholder workshops and requirements sessions, including in situations where stakeholder views are not aligned.
• Proficiency in Microsoft Office tools including Excel, Word, PowerPoint, and Visio.
• Strong attention to detail in data work, with a track record of catching and correcting errors before they surface downstream.
• Ability to work independently with a high degree of ownership and accountability.
• Strong technical aptitude and interest in understanding how system architecture and design choices affect what can be delivered.