Business Insights Analyst I

Work Location: Markham, Ontario, Canada Hours: 35 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $66,800 - $94,300 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: PRIMARY PURPOSE OF THE JOB: • The Business Performance Insights Analyst, is a leadership support role responsible for supporting the fraud performance, productivity, and operational effectiveness team across fraud operations. This role provides support which enables fraud operations to operate efficiently, consistently, and at scale. • By establishing disciplined operating models, front-end funnel optimization, and continuous improvement practices, this role supports the fraud investigation teams to maximize net capture, reduce cycle times, and sustain high-quality outcomes. The role serves as a critical enabler of fraud strategy, ensuring that people, processes, and tools are aligned to business priorities and risk appetite. MANDATE: • To support the leader of the Fraud Performance & Operational Excellence function by supporting performance management reporting and report production. KEY ACCOUNTABILITIES: Customer: • Support clarity, transparency, and quality in fraud decision-making through strong performance standards and quality assurance practices. • Provide insights to investigation teams with clear playbooks, training, and tools that support sound judgment and consistent customer outcomes. • Support the secure handling of customer information through adherence to operational controls, privacy requirements, and established processes for managing sensitive data. • Reinforce fair, consistent, and accountable customer-facing fraud processes through day-to-day operational support, process discipline, and adherence to established standards • Support customer-facing partners by providing operational fraud guidance, insights, and process support that enable consistent, risk-informed customer outcomes. Shareholder: • Support fraud performance reporting and governance processes, including the coordination, organization and maintenance of KPIs, scorecards, targets, and executive reporting. • Contribute to initiatives that support improvements in net capture rate, cost avoidance, cycle time reduction, referral quality, and capacity utilization. • Support front-end fraud funnel activities, including intake, triage, prioritization, and routing processes that help improve value realization. • Provide operational support for productivity and efficiency activities to help sustain throughput and effective use of investigative capacity. • Support quality assurance processes that help validate investigation quality, adherence to standards, and performance consistency. • Identify operational risks, inefficiencies, and leakage points, and support follow-up actions to help protect financial outcomes. • Partner with Fraud teams, Journey, AI2, DAI, and SEO partners to support the adoption, implementation, and optimization of fraud tools, analytics, and AI-enabled solutions. • Support audit readiness and documentation requirements across performance, enablement, and operational governance activities. • undefined Employee/Team: • Contribute to training and upskilling activities aligned to fraud trends, business priorities, and identified capability gaps. • Reinforce a culture of continuous improvement, accountability, and learning through consistent operational practices and team support. • Support timely communication of priorities, performance insights, and changes affecting fraud teams. • Contribute to a fair, inclusive, and collaborative work environment that supports engagement, innovation, and operational excellence. • Support the Fraud function and broader enterprise objectives through consistent representation of team priorities and practices. • Maintain current knowledge of emerging trends, business developments, and related tools and techniques to support operational effectiveness. BREADTH & DEPTH: • Apply financial and operational knowledge to support the interpretation of performance results, including cost avoidance, productivity benefits, capacity impacts, and net capture outcomes. • Support the development of fraud-related business cases, benefit realization approaches, and investment materials by contributing financial assumptions, trade-offs, and expected outcomes. • Prepare and contribute to executive-level materials such as performance decks, scorecards, and reporting for senior leadership, Finance, and governance forums. • Support alignment between operational metrics and financial reporting requirements through partnership with Finance, DAI, SEO, and Actuarial teams. • Provide subject matter support in fraud performance management, operational excellence, workforce enablement, and quality governance. • Apply knowledge of high-volume operational models, performance analytics, and continuous improvement practices to support fraud operations. • Support work across multiple fraud performance and operational excellence activities that contribute to financial outcomes, operational efficiency, and fraud maturity. • Build and maintain cross-functional partnerships across Fraud Operations, Journey, Claims, Policy, Finance, AI2, DAI, SEO, and Risk to support shared objectives. • Apply sound judgment in comple