Senior Technical Business Analyst – Mortgage & Lending (WTL, ON)

Results-driven opportunity within the insurance industry for a senior-level professional specializing in mortgage and lending technology. This role focuses on translating complex business needs into scalable solutions, driving digital transformation, and enhancing end-to-end lending processes in a regulated environment.

• Salaried: $64-67 per hour.

• Incorporated Business Rate: $75-79 per hour.

• 9-month contract.

• Full-time position: 37.50 hours per week.

• 2 days on-site per week.

• Based in Toronto or Waterloo.

• Analyze and document end-to-end mortgage and lending processes, including application intake, underwriting, decisioning, fulfillment, funding, and servicing interactions.

• Translate lending policies, credit rules, operational procedures, and regulatory requirements into clear and actionable requirements.

• Identify inefficiencies, manual handoffs, and process gaps, and recommend technology-driven improvements.

• Collaborate with stakeholders across business, operations, risk, compliance, and technology to align solutions with strategic objectives.

• Facilitate workshops, design sessions, and requirement reviews with diverse stakeholder groups.

• Act as a liaison between business teams, technology teams, and external partners to ensure alignment and clarity.

• Elicit, define, and manage functional and non-functional requirements across integrated systems and workflows.

• Break down business needs into epics, features, user stories, and acceptance criteria suitable for agile delivery.

• Support solution design by working closely with architects and engineers to ensure feasibility and alignment with enterprise standards.

• Maintain traceability between business objectives and delivered solutions.

• Contribute to backlog refinement, sprint planning, and ongoing requirement updates.

• Partner with QA teams to ensure requirements are testable and accurately reflected in test scenarios.

• Support defect triage and resolution by clarifying expected outcomes.

• Ensure readiness for implementation, including training, operational processes, and change management.

• Maintain high-quality documentation aligned with regulatory and audit standards.

• Identify risks, issues, and dependencies, and propose mitigation strategies.

• Provide clear and concise updates to stakeholders and leadership.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

• 8–10 years of experience in business analysis or business systems analysis within complex technology environments.

• Strong experience in mortgage, lending, credit, or related financial services domains.

• Deep understanding of mortgage origination and lending lifecycles, including underwriting, funding, and servicing.

• Experience working in regulated environments with risk, compliance, and audit requirements.

• Ability to translate regulatory and business requirements into system capabilities.

• Solid knowledge of systems analysis, application integration, APIs, and non-functional requirements such as performance, scalability, and security.

• Technical acumen with the ability to engage effectively with engineering teams and understand system behavior.

• Proven ability to analyze complex systems and deliver scalable, high-quality solutions.

• Experience working in agile or hybrid delivery models across multiple workstreams.

• Strong prioritization skills and ability to manage competing deadlines.

• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.

• Strong stakeholder management, influencing, and negotiation abilities.

• Comfort working in ambiguous and evolving environments.

• Experience collaborating with QA and development teams throughout delivery cycles.

• Knowledge of data reporting and analytical tools is an asset.

• Familiarity with SQL, Power BI, or debugging concepts is considered an advantage.

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

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