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Bank of Montreal

Runs Canadian and US banks for people and firms

Senior Business Analyst - Loan Servicing Technology

Business AnalysisConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • Four to six years of business analysis experience in financial services, technology, or large enterprise environments.
  • At least two to three 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 or banking systems, such as loan servicing systems or financial products; LoanIQ is preferred.
  • Strong understanding of the Software Development Life Cycle (SDLC) and Product Development Life Cycle (PDLC).
  • Knowledge of API integration and REST/SOAP services.
  • Knowledge of system architecture concepts and data flow mapping.
  • Understanding of core AWS services, including EC2, S3, RDS, Lambda, and VPC.
  • Experience working with cross-functional teams including Product Owners, Architects, Developers, QA teams, and business stakeholders.
  • Proven track record in requirements management, stakeholder engagement, process analysis, and solution delivery.
  • Experience facilitating workshops and managing multiple stakeholders across varying organizational levels.
  • A post-secondary degree in Business, Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Knowledge of requirements elicitation and analysis, functional and non-functional requirements, process mapping and workflow design, impact analysis, business process reengineering, stakeholder analysis and management, business architecture frameworks, and UAT coordination and support.
  • Knowledge of data analysis, data querying, data visualization and insights development, data-driven decision-making, and dashboard and reporting tools.
  • Knowledge of Microsoft 365 Copilot or equivalent enterprise AI tools, prompt engineering, AI-assisted documentation and analysis, AI-powered testing and quality practices, responsible AI governance and compliance, and AI productivity and automation tools.
  • Knowledge of Jira, Confluence, or similar enterprise management platforms.
  • Knowledge of process optimization and continuous improvement.
  • Verbal and written communication skills, collaboration, and teamwork.

Responsibilities

  • Elicit, analyze, validate, and document business requirements for strategic technology initiatives.
  • Translate business needs into functional and non-functional requirements, user stories, process flows, and acceptance criteria.
  • Collaborate with business and technology stakeholders to align solutions 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 and keep requirements aligned with evolving business priorities.
  • Facilitate workshops, stakeholder interviews, and requirements discovery sessions.
  • Build and maintain 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.
  • Use Generative AI tools to accelerate requirements gathering, analysis, documentation, and stakeholder communications.
  • Use Microsoft Copilot or equivalent enterprise AI tools.
  • Apply prompt engineering techniques to improve the 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.

Desired Qualifications

  • LoanIQ knowledge is preferred.
  • SQL and data querying are preferred.
  • Power BI is preferred.

About the Company

Bank of Montreal

Runs Canadian and US banks for people and firms

Bank of Montreal, known as BMO, runs a Canadian bank and a large American bank, serving households and businesses on both sides of the border. Until the Bank of Canada opened in 1935, it acted as the Canadian government's banker. People use its branches and apps for accounts, mortgages, credit cards, and investments, while companies borrow from it and turn to its BMO Capital Markets arm to raise money and trade securities. BMO makes money on the gap between the interest it charges on loans and pays on deposits, plus fees from managing wealth and advising on deals. Bank of Montreal was founded in 1817 as Canada's first bank, and it keeps its legal head office in Montreal and its executive offices in Toronto, Canada.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1817

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