Business Analyst

BMO - Business Analyst (Financial/Banking) Role: Business Analyst Location: Chicago/Naperville (onsite 2 days a week) Duration: 24 Months+ extension/conversion Structure: W2 contract (no C2C or H1 sponsor) Start Date: ASAP Interview Process: 1 round virtual Compensation: $105,000 - $140,000 Benefits: 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 week • Strong core Business Analyst experience with end‑to‑end requirements gathering • Prior experience supporting wealth management initiatives • Experience working on AI, machine learning, or advanced analytics projects • Ability to investigate, identify, and document data sources across enterprise systems • Experience translating business needs into high‑level and detailed requirements (LRDs / waterfall documentation) • Comfortable working in a waterfall delivery model • Ability to partner closely with business stakeholders to define use cases and success criteria • Strong communication skills and ability to interface with both business and technical teams • Ability to support multiple machine learning projects simultaneously • Experience working under senior leadership Nice to Haves: • Prior experience within large financial institutions or enterprise banking environments • Experience supporting Gen AI use cases in wealth management • Familiarity with customer data, wealth data, and financial datasets • Experience collaborating with data engineers and data science teams • Understanding of personas, access controls, and governance in AI initiatives • Experience helping structure ambiguous or “random” AI use cases into clear requirements Day to Day: • Sit onsite in Naperville 2 days per week and collaborate closely with business and technical teams • Partner with wealth management stakeholders to understand business problems and AI use cases • Investigate where required data lives and identify relevant data sources for machine learning models • Convert business requests (e.g., “do XYZ with this data”) into structured, high‑level requirements • Create and maintain LRDs and other waterfall requirements documentation • Work closely with data engineers, who will handle data builds and pipelines • Support multiple ongoing machine learning and AI initiatives focused on wealth use cases • Help define success criteria, personas, and access needs for Gen AI projects • Ensure requirements are clear, actionable, and aligned with business priorities • Act as a strong core BA, without expectations around ETL development or dashboard buildouts