Senior Analyst Data Analytics

Job Family Group: Data Analytics & ReportingAs a Senior Analyst, Data Analytics, you'll play a key role in advancing investigative and detection capabilities within a highly visible team focused on protecting the organization and its clients. This is an opportunity to combine your passion for data, analytics and problem-solving to deliver meaningful insights that support complex investigations and drive proactive risk detection.In this role, you'll leverage Python, SQL, data visualization and automation to transform large and complex datasets into actionable intelligence. You'll develop analytics solutions, operational dashboards, and reporting that empower investigators to uncover trends, identify emerging risks, and make informed decisions. You'll also collaborate closely with technology and AI partners to help shape innovative solutions, including next-generation AI-enabled tools and automation capabilities.We're looking for someone who is naturally curious, highly motivated, and excited by the opportunity to tackle diverse challenges. Whether you're building analytics, enhancing processes, or exploring new technologies, you'll have the chance to make a measurable impact while growing your technical and business expertise in a dynamic, forward-looking environment.If you're passionate about data, innovation and solving meaningful business problems, we'd love to hear from you.The role is based in Toronto and operates in a hybrid model (3 days in office).Performs sophisticated data analytics to explore and identify known or previously unidentified criminal behaviours among customer and employee groups across BMO. Supports investigations against people or property of BMO by providing key data or supporting the investigative process. Applies knowledge of analytics algorithms and technologies to develop analytic solutions and support decision making. Develops and implements the strategies for technology as related to business requirements. Acts as a subject matter expert on BMO data and data modelling for criminal risk mitigation to guide management programs and investigation activities. Drives innovation through the development of data products, establishes best practices and influences data governance guidelines and policies.Recommends and implements solutions based on analysis of issues and implications for the business.Assists in the development of strategic plans.Identifies emerging issues and trends to inform decision-making.Ensures alignment between analytics, business and technical sides of strategies to improve performance and effectiveness.Conducts independent analysis and assessment to resolve strategic issues.Engages technical support and other business/groups to support the implementation and sustainment of change management projects and processes.Makes key decisions and recommendations for identifying and prioritizing new/existing data acquisition and/or quality mitigation requirements.Understands and analyzes complex business problems then formulates data-driven hypotheses to drive business value.Provides input into the planning and implementation of operational programs.Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.Reviews the program for effectiveness, considers industry trends and recommends enhancements;
makes changes as required.Ensures an understanding of inherent risks in the business/group and oversees appropriate actions to ensure operational integrity is maintained.Identifies and understands new and emerging patterns of fraud, both external and internal.Identifies and acquires appropriate data for fraud analysis based on knowledge of BMO product, data warehouse systems and architectural linkages.Develops complex technical rules/ scenarios to maximize the effectiveness of fraud detection and prevention programs.Applies statistical, data mining and pattern analysis techniques to determine relationships between transactions, customer data and known/predicted fraudulent behaviours.Summarizes statistical findings, draws conclusions and presents actionable business recommendations.Conducts programming as required for data mining mainframe jobs and develops detection rules/ scenarios or automated reports for Investigator use.Develops and maintains models and metrics, scenarios, profiles and parameters used to improve the efficiency of fraud detection systems.Manages risk and minimizes losses through monitoring, controlling, audits and verifications in accordance with compliance requirements, policies, procedures and regulations.Provides leadership and oversight on the identification, analysis and resolution of issues, recommending appropriate courses of action and creating solutions.Supports development and execution of strategic initiatives in collaboration with stakeholders.Leads/participates in the design, im
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