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  • Emplois similaires à : Business Analyst
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Business AnalystBMO Wealth Management - U.S. • United States
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Business Analyst

BMO Wealth Management - U.S.
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

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
  • United States

Compétences linguistiques

  • English
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