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