Senior Business Analyst, Loan Servicing Technology

Description

The company is hiring a Senior Business Analyst for its technology group, working on loan servicing technology and AI-enabled delivery.

You will connect business needs, technology solutions and emerging AI capabilities. You will work with business stakeholders and delivery teams, combining classic analysis methods with AI tools to speed up delivery and improve requirements quality.

You will use AI across the software development lifecycle for elicitation, process analysis, documentation, impact assessments, test design, knowledge management, story writing and solution validation, while keeping AI use responsible and secure.

The ideal candidate brings strong analysis and stakeholder skills, plus hands-on AI experience across several lifecycle phases.

Job family: Technology. Application deadline: 11/29/2026.

Responsibilities

• Gather, analyze, check and record business requirements for strategic technology work.
• Turn business needs into functional and non-functional requirements, user stories, process flows and acceptance criteria.
• Work with business and technology stakeholders so solutions meet business goals and intended results.
• Assess current and future states and look for ways to improve business processes.
• Carry out gap, impact, root cause and feasibility analyses.
• Keep requirements aligned with shifting business priorities as teams deliver.
• Run workshops, stakeholder interviews and requirements discovery sessions.
• Create and maintain requirements documents, user stories, workflow diagrams, process maps and operating procedures.
• Support UAT, SIT and end-to-end testing.
• Use generative AI tools to speed up requirements gathering, analysis, documentation and stakeholder messages.
• Work with enterprise AI platforms such as Microsoft Copilot or similar tools.
• Apply prompt engineering to make analysis outputs more accurate, consistent and complete.
• Partner with delivery teams to find AI-driven process gains and efficiencies.
• Check AI outputs for accuracy, compliance, traceability, security and business fit before use.
• Help grow AI-enabled delivery and ongoing improvement across the organization.
• Teach stakeholders practical AI use cases and responsible AI practice.

Requirements

• Four to six years of business analysis experience in financial services, technology or large enterprise settings.
• A minimum of 2-3 years of hands-on work with AI-enabled solutions and generative AI tools in analysis or delivery roles.
• Experience supporting waterfall, agile or hybrid delivery methods.
• Knowledge of financial services and banking systems, such as loan servicing systems and financial products. LoanIQ is preferred.
• Solid understanding of the SDLC and PDLC.
• Experience with API integration, including REST and SOAP services.
• Understanding of system architecture concepts and data flow mapping.
• Understanding of core AWS services: EC2, S3, RDS, Lambda and VPC.
• Experience working with product owners, architects, developers, QA teams and business stakeholders.
• Proven record in requirements management, stakeholder engagement, process analysis and solution delivery.
• Experience facilitating workshops and managing many stakeholders at different organizational levels.
• A post-secondary degree in business, IT, computer science, engineering or a related field, or equivalent practical experience.
• Skills in requirements elicitation, functional and non-functional requirements, process mapping, workflow design, impact analysis, business process reengineering, stakeholder management, business architecture frameworks and UAT coordination.
• Data skills including data analysis, data-driven decision making, data visualization and analytical problem solving. SQL and data querying are preferred. Dashboard and reporting tools are needed, with Power BI preferred.
• Microsoft 365 Copilot or equivalent enterprise AI tools, strong prompt engineering, and AI-assisted documentation and analysis.
• Familiarity with AI-powered testing and quality practices, responsible AI governance and compliance, and AI productivity and automation tools.
• Experience with waterfall, agile and hybrid delivery and development, plus Jira, Confluence or similar enterprise management platforms.
• Process optimization and continuous improvement skills, strong verbal and written communication, and good teamwork.

Conditions

Hybrid work: 2-3 days per week in the office.

Office location: 100 King Street West.

Salaried role with a pay range of $55,500.00 - $120,000.00.

This is the company's stated pay range and pay type.

Pay varies by location, skills, experience, education and qualifications, and may include a commission structure. For commission roles, the figure above is the expected first-year target. Part-time pay is pro-rated to regular hours.

Total compensation varies by pay type and may include performance-based incentives and discretionary bonuses.

The company is committed to an inclusive, equitable and accessible workplace. Accommodations are available on request during selection, through your recruiter.

Benefits

• Health insurance.
• Tuition reimbursement.
• Life and accident insurance.
• Retirement savings plans.
• Other perks and rewards may be part of total compensation.