Senior Manager, Fraud Analytics & Solutions Implementation

BMO • Brookfield, WI

2d • $100,000 - $220,000 • Hybrid

About The Position

BMO is hiring for a newly created role focused on implementing and optimizing a next-generation fraud orchestration platform that connects multiple vendor solutions. The position works across Fraud, Product, Technology, and Business teams on enterprise-wide initiatives to protect customers and reduce fraud losses. It combines fraud analytics, SQL expertise, vendor implementation, and influence on fraud strategy. This is a hybrid individual-contributor position requiring 2–3 days in the office, with no direct reports.

The role performs sophisticated analytics to identify known and emerging criminal behaviours among customer and employee groups. It develops analytic solutions, fraud detection models, metrics, rules, scenarios, profiles, and parameters; supports investigations; and informs business decisions with data-driven insights and recommendations. The position acts as a subject matter expert on BMO data, data modelling, fraud and criminal risk mitigation, relevant regulations, and policies.

The Senior Manager provides strategic input, aligns analytics with business and technical strategies, monitors performance, leads or participates in operational and process initiatives, and applies risk management and compliance controls. It also contributes to innovation, data products, best practices, and data governance. The role requires advanced technical and analytical expertise, strong communication and influence skills, cross-group collaboration, and the ability to manage ambiguity.

Requirements

• Typically 7+ years of relevant experience and a master's degree in a related field of study.
• 5+ years of experience writing complex SQL queries.
• 5+ years of advanced statistical analysis knowledge.
• Proven expertise identifying fraud through metrics and database queries using SQL and/or SAS.
• 5+ years of experience implementing controls and onboarding or implementing fraud vendors.
• Advanced technical skills and knowledge.
• Advanced knowledge of fraud and security management.
• Advanced knowledge of statistical analyses and human behaviour modelling.
• In-depth knowledge of risk and technology management as applied to fraud and/or criminal risk.
• Expert-level verbal and written communication, analytical and problem-solving, influence, collaboration, and data-driven decision-making skills.
• Ability to manage ambiguity.
• Expertise creating PowerPoint slides.
• Expertise with Microsoft Excel, including pivot tables and conditional formatting.

Nice To Haves

• Experience with fraud vendors such as ThreatMetrix, Alloy, and BioCatch.
• Experience with Power BI.

Responsibilities

• Perform sophisticated data analytics to identify known and previously unidentified criminal behaviours among customer and employee groups.
• Identify and understand emerging patterns of external and internal fraud.
• Develop and maintain models, metrics, scenarios, profiles, parameters, technical rules, and detection solutions to improve fraud detection and prevention.
• Identify and acquire appropriate data for fraud analysis using knowledge of BMO products, data warehouse systems, and architectural linkages.
• Apply statistical, data-mining, and pattern-analysis techniques to identify relationships among transactions, customer data, and fraudulent behaviours.
• Summarize statistical findings, draw conclusions, and present actionable business recommendations.
• Conduct programming for data-mining mainframe jobs and develop detection rules, scenarios, or automated reports for investigators as required.
• Support investigations involving BMO people or property by providing relevant data or supporting the investigative process.
• Support the development and execution of strategic initiatives in collaboration with stakeholders.
• Provide strategic input into business decisions as a trusted advisor and serve as a subject matter expert for internal and external stakeholders.
• Develop and implement technology strategies related to business requirements, ensuring alignment between analytics, business, and technical strategies.
• Monitor and track performance, address issues, and lead execution of operational programs, adapting as needed to ensure quality.
• Apply risk mitigation methods, manage risks and losses through monitoring, controls, audits, and verifications, and ensure policies, processes, and controls are followed.
• Provide leadership and oversight in identifying, analyzing, and resolving issues, recommending actions and creating solutions.
• Develop and manage information management systems and lead or participate in initiatives to improve processes, analysis, reporting, and core business processes.
• Help determine business priorities and execution sequencing; conduct independent analysis to resolve strategic issues.
• Act as a subject matter expert on relevant regulations and policies and may network with industry contacts to identify competitive insights and best practices.
• Drive innovation through data products, best practices, and influence on data governance guidelines and policies.
• Take measured, risk-informed decisions in accordance with BMO’s Risk Management Framework, approved Risk Appetite, policies, laws, and regulations.

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans
• Performance-based incentives, discretionary bonuses, and other perks and rewards may be included in the total compensation package.
• Training, coaching, manager support, and network-building opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior