Business Analyst (Chicago)

BMO - Business Analyst (Financial/Banking)Role: Business AnalystLocation: Chicago/Naperville (onsite 2 days a week)Duration: 24 Months+ extension/conversionStructure: W2 contract (no C2C or H1 sponsor)Start Date: ASAPInterview Process: 1 round virtualCompensation: $105,000 - $140,000Benefits: Medical, Dental, Vision, 401K, Equipment ect.*Must have previous Business Analyst experience working within banking or financial institutions in wealth AND background in AI *Must Haves:Local to Naperville, IL and willing to be onsite 2 days per weekStrong core Business Analyst experience with end‐to‐end requirements gatheringPrior experience supporting wealth management initiativesExperience working on AI, machine learning, or advanced analytics projectsAbility to investigate, identify, and document data sources across enterprise systemsExperience translating business needs into high‐level and detailed requirements (LRDs / waterfall documentation)Comfortable working in a waterfall delivery modelAbility to partner closely with business stakeholders to define use cases and success criteriaStrong communication skills and ability to interface with both business and technical teamsAbility to support multiple machine learning projects simultaneouslyExperience working under senior leadershipNice to Haves:Prior experience within large financial institutions or enterprise banking environmentsExperience supporting Gen AI use cases in wealth managementFamiliarity with customer data, wealth data, and financial datasetsExperience collaborating with data engineers and data science teamsUnderstanding of personas, access controls, and governance in AI initiativesExperience helping structure ambiguous or "random" AI use cases into clear requirementsDay to Day:Sit onsite in Naperville 2 days per week and collaborate closely with business and technical teamsPartner with wealth management stakeholders to understand business problems and AI use casesInvestigate where required data lives and identify relevant data sources for machine learning modelsConvert business requests (e.g., "do XYZ with this data") into structured, high‐level requirementsCreate and maintain LRDs and other waterfall requirements documentationWork closely with data engineers, who will handle data builds and pipelinesSupport multiple ongoing machine learning and AI initiatives focused on wealth use casesHelp define success criteria, personas, and access needs for Gen AI projectsEnsure requirements are clear, actionable, and aligned with business prioritiesAct as a strong core BA, without expectations around ETL development or dashboard buildouts