Senior Business Analyst, Product Development

OverviewJob PurposeThe Senior Business Analyst for Product Development is accountable for assessing users’ business requirements, innovating solutions, and formulating detailed business requirements and functional specifications. Demonstrating autonomy throughout the project life cycle, this role actively contributes to technical specifications, spearheads requirement development, system design, test planning, and the production release process. Additionally, this position focuses on designing and managing reference and static data solutions for financial derivatives, ensuring accuracy and efficiency in data distribution across various domains and systems. This role also drives Agentic AI SDLC adoption, applying AI-assisted and agentic tooling to accelerate requirements analysis, prototyping, and delivery without sacrificing quality.ResponsibilitiesAct as a liaison between business, operations, and technology teams throughout the Software Development Life Cycle (SDLC) processIndependently identify business needs and develop comprehensive requirements and resource materials for our reference data systems, accommodating a wide range of product designs and downstream systemsGather product requirements input from various stakeholders, including front-end users and API consumersPrepare detailed documentation for data analysis and procedural processesConduct thorough reviews of data processes, construct functional prototypes, and execute rigorous test plansAdhere to company software development processes and standardsCollaborate with project management to monitor the implementation of system requirementsProvide support to operations for incident resolution as neededStay abreast of developments in derivatives markets, maintaining current knowledge of industry trends and best practicesContinuously study emerging technologies to remain technically proficientDrive Agentic AI SDLC adoption within the team, identifying and implementing AI-driven automation opportunities across requirements, testing, and delivery to increase productivity without sacrificing qualityIndependently use AI/LLM tools (e.g., Claude Code) to prototype solutions, build proofs-of-concept, and accelerate requirements and gap analysis, exercising judgment over when to trust, verify, or override AI-generated outputKnowledge and ExperienceBachelor's degree in Engineering, Computer Science, Finance, Economics, Mathematics, or related field5+ years of experience in software product development, business analysis, or related fields, focusing on Energy, Commodity, or Financial futures and options marketsDetail-oriented with a proven ability to articulate unambiguous requirements and self-driven mindset; strong analytical and problem-solving capabilitiesDemonstrated expertise in maintaining data and defining operational processesExcellent written and oral communication skills, including technical and functional business writing proficiency; ability to collaborate broadly across departmentsProficiency in facilitating requirements gathering sessions, reviews, and issue resolutions involving multiple stakeholdersStrong SQL skills for database query execution and refinement; thorough understanding of relational databases and data modeling principlesAbility to thrive in fast-paced environments and meet tight deadlinesGood working knowledge of software testing practices for contributing to high-quality software developmentDemonstrated experience with AI-assisted or agentic development workflows (e.g., Claude Code, GitHub Copilot, ChatGPT), including using LLMs to accelerate analysis, prototyping, or SDLC automationProficiency in MS Office Suite, including Visio, Excel, Word, and PowerPoint a plusA general technical background encompassing application programming, database, and system design principles a plusFamiliarity with programming languages such as C++, R, Python, Visual Basic, PL/SQL a plus#LI-JW1 Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.