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Added 4 mins ago
S
Accounts Payable Manager (15 month term)
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- Full-time
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Added 19 mins ago
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Software Engineer II Full Stack (Branch Systems)
TD
London, ON · Toronto, ON
- Full-time
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Site Reliability Engineer Lead
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- Full-time
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Manager, Resource Management
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Added 34 mins ago
Senior Financial Analyst
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Data Analyst Intern (Winter/January 2027, 12 Months)
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Senior Network Engineer
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Added 1 hour ago
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Project Manager II, Payments
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Added 1 hour ago
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Manager, Compliance – Model and Data Governance
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Added 1 hour ago
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BMO

Senior Business Analyst, Loan Servicing Technology

Toronto, ON, Canada
FCP, Canada

$55,500.00 - $120,000.00 · Full-time

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Job details

Pay: $55,500.00 - $120,000.00
Job type: Full-time
Apply by: Nov 30, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

Application Deadline:

11/29/2026

Address:

100 King Street West

Job Family Group:

Technology

Job Description

Role Overview

As a Business Analyst, with a focus on AI-Enabled Delivery at BMO, you will play a critical role in bridging business needs, technology solutions, and emerging Artificial Intelligence (AI) capabilities. Working closely with business stakeholders, technology teams, product owners, architects, developers, and quality engineering teams, you will leverage both traditional business analysis practices and AI-powered tools to accelerate delivery, improve decision-making, enhance requirements quality, and optimize business outcomes.

This role extends beyond traditional business analysis by incorporating Generative AI (Gen AI) and AI-assisted delivery practices throughout the Software Development Life Cycle (SDLC). You will utilize AI to support requirements elicitation, process analysis, documentation creation, impact assessments, test case generation, knowledge management, user story development, solution validation, and delivery acceleration while ensuring responsible and secure AI usage.

The ideal candidate possesses strong business analysis skills, stakeholder management capabilities, and hands-on experience utilizing AI technologies and AI-assisted tools across multiple SDLC phases.

Key Responsibilities

Business Analysis & Solution Delivery
- Elicit, analyze, validate, and document business requirements to support strategic technology initiatives.
- Translate business needs into clear functional and non-functional requirements, user stories, process flows, and acceptance criteria.
- Collaborate with business and technology stakeholders to ensure solutions align with business objectives and expected outcomes.
- Conduct current-state and future-state assessments and identify opportunities for business process optimization.
- Perform gap analysis, impact assessments, root cause analysis, and feasibility studies.
- Support teams throughout the delivery lifecycle, ensuring requirements remain aligned with evolving business priorities.
- Facilitate workshops, stakeholder interviews, and requirements discovery sessions.
- Build and maintain project artifacts including business requirements documents, user stories, workflow diagrams, process maps, and operational procedures.
- Support User Acceptance Testing (UAT), System Integration Testing (SIT), and End-to-End testing activities.

AI-Enabled Business Analysis
- Leverage Generative AI tools to accelerate requirements gathering, analysis, documentation, and stakeholder communications.
- Utilize AI-assisted platforms such as Microsoft Copilot or equivalent enterprise AI tools.
- Apply prompt engineering techniques to improve quality, consistency, and completeness of business analysis deliverables.
- Partner with delivery teams to identify opportunities for AI-driven process improvements and business efficiencies.
- Evaluate AI-generated outputs for accuracy, compliance, traceability, security, and business relevance before adoption.
- Contribute to AI-enabled delivery practices and continuous improvement initiatives across the organization.
- Support AI adoption by educating stakeholders on practical business use cases and responsible AI practices.

Required Capabilities

Business Analysis & Solution Delivery
- Elicit, analyze, validate, and document business requirements to support strategic technology initiatives.
- Translate business needs into clear functional and non-functional requirements, user stories, process flows, and acceptance criteria.
- Collaborate with business and technology stakeholders to ensure solutions align with business objectives and expected outcomes.
- Conduct current-state and future-state assessments and identify opportunities for business process optimization.
- Perform gap analysis, impact assessments, root cause analysis, and feasibility studies.
- Support teams throughout the delivery lifecycle, ensuring requirements remain aligned with evolving business priorities.
- Facilitate workshops, stakeholder interviews, and requirements discovery sessions.
- Build and maintain project artifacts including business requirements documents, user stories, workflow diagrams, process maps, and operational procedures.
- Support User Acceptance Testing (UAT), System Integration Testing (SIT), and End-to-End testing activities.

AI-Enabled Business Analysis
- Leverage Generative AI tools to accelerate requirements gathering, analysis, documentation, and stakeholder communications.
- Utilize AI-assisted platforms such as Microsoft Copilot or equivalent enterprise AI tools.
- Apply prompt engineering techniques to improve quality, consistency, and completeness of business analysis deliverables.
- Partner with delivery teams to identify opportunities for AI-driven process improvements and business efficiencies.
- Evaluate AI-generated outputs for accuracy, compliance, traceability, security, and business relevance before adoption.
- Contribute to AI-enabled delivery practices and continuous improvement initiatives across the organization.
- Support AI adoption by educating stakeholders on practical business use cases and responsible AI practices.

Qualifications & Experience

4-6 years of Business Analysis experience in financial services, technology, or large enterprise environments.
Minimum 2-3 years of practical experience using AI-enabled solutions and Generative AI tools in business analysis or delivery roles.
Experience supporting Waterfall, Agile, or Hybrid delivery methodologies.
Knowledge of Financial Services/Banking systems (e.g., loan servicing systems, financial products) (LoanIQ Preferred)
Strong understanding of the Software Development Life Cycle (SDLC) and Product Development Life Cycle (PDLC).
API Integration & understanding of services (REST/SOAP)
System architecture concepts & data flow mapping
Understanding of core AWS services (EC2, S3, RDS, Lambda, VPC)
Experience working with cross-functional teams including Product Owners, Architects, Developers, QA teams, and business stakeholders.
Proven track record of requirements management, stakeholder engagement, process analysis, and solution delivery.
Experience facilitating workshops and managing multiple stakeholders across varying levels of the organization.
Post-secondary degree in Business, Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience.

Technical Skills

Business Analysis

Requirements Elicitation & Analysis
Functional & Non-Functional Requirements
Process Mapping & Workflow Design
Impact Analysis
Business Process Reengineering
Stakeholder Analysis & Management
Business Architecture Frameworks
UAT Coordination & Support

Data & Reporting

Data Analysis
SQL and Data Querying (preferred)
Dashboard & Reporting Tools (Power BI preferred)
Data Visualization & Insights Development
Data-Driven Decision Making
Analytical & Problem-Solving Skills

AI & Digital Enablement

Microsoft 365 Copilot or equivalent enterprise AI tools.
Strong Prompt Engineering
AI-Assisted Documentation & Analysis
AI-Powered Testing & Quality Practices
Responsible AI Governance & Compliance
AI Productivity & Automation Tools

Delivery & Collaboration

Waterfall, Agile, & Hybrid Delivery & Development
Jira, & Confluence or similar enterprise management platforms
Process Optimization & Continuous Improvement
Verbal & Written Communication
Collaboration & Teamwork

Work Model

Hybrid – 2–3 days per week in office

Salary:

$55,500.00 - $120,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

The role involves bridging business needs with technology solutions by leveraging traditional business analysis and AI-powered tools to optimize delivery. You will be responsible for eliciting requirements, managing stakeholders, and utilizing Generative AI to enhance documentation, process analysis, and solution validation.

Requirements

Candidates must have 4-6 years of business analysis experience in financial services or enterprise environments, including 2-3 years of practical experience with AI-enabled solutions. A post-secondary degree in a relevant field is required, along with strong knowledge of SDLC, API integration, and banking systems.

Skills

Business analysis
Generative AI
Prompt engineering
Requirements elicitation
Stakeholder management
SDLC
Agile
Waterfall
Loan servicing
Process mapping
API integration
SQL
Power BI
Data analysis
Microsoft Copilot
UAT

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Business Analyst
Loan Servicing
Artificial Intelligence
Generative AI
SDLC
Agile
Waterfall
Microsoft Copilot
Prompt Engineering
API
REST
SOAP
AWS
SQL
Power BI
UAT
SIT
Jira
Confluence
Financial Services
LoanIQ
Process Optimization
Gap Analysis
Requirements Management
Data Visualization
Stakeholder Engagement
Business Architecture
Cloud Computing
Enterprise AI
Hybrid Delivery

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