Senior Manager Analytics

Application Deadline:

05/14/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

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.

• Data analytics–driven professional who consistently leverages quantitative insights to inform decision-making, optimize processes, and strengthen policy outcomes. Demonstrates strong proficiency in data interpretation, statistical analysis, and performance measurement, translating complex datasets into clear, actionable recommendations.
• Approaches policy assessment with a structured, evidence-based mindset, ensuring that strategic initiatives are supported by measurable impact analysis, risk evaluation, and trend forecasting.
• Exhibits a high level of analytical rigor, attention to detail, and objectivity, while maintaining the ability to communicate findings effectively to both technical and executive audiences. Committed to continuous improvement, governance standards, and aligning analytical insights with organizational objectives.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.
• Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• Provides strategic input into business decisions as a trusted advisor.
• Acts as a subject matter expert on relevant regulations and policies.
• May network with industry contacts to gain competitive insights and best practices.
• Ensures alignment between analytics, business and technical sides of strategies to improve performance and effectiveness.
• Conducts independent analysis and assessment to resolve strategic issues.
• Helps determine business priorities and best sequence for execution of business/group strategy.
• Acts as the prime subject matter expert for internal/external stakeholders.
• Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
• Monitors and tracks performance, and addresses any issues.
• Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
• Applies risk mitigation and management methods to manage/refines risk approaches within the function/process. Ensures policies, processes and controls are implemented and adhered to.
• Develops/manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
• Leads/participates in the design, implementation and management of core business/group processes.
• 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 appropr