Senior Manager, Fraud Analytics & Solutions Implementation

About the Role

Join a high-impact team at the forefront of fraud prevention and digital transformation. In this newly created role, you’ll lead the implementation and optimization of a next‑generation fraud orchestration platform that connects multiple vendor solutions into a single, streamlined experience. You’ll work closely with Fraud, Product, Technology, and Business leaders across the bank, gaining exposure to enterprise‑wide initiatives that directly protect customers and reduce fraud losses.

This role requires a hybrid work model with 2‑3 days in the office. It is an individual contributor position with no direct reports.

• Perform sophisticated data analytics to identify known or previously unidentified criminal behaviors among customer and employee groups.
• Identify and understand new and emerging patterns of fraud, both external and internal.
• Develop and maintain models, metrics, scenarios, profiles, and parameters to improve the efficiency of fraud detection systems.
• Support the development and execution of strategic initiatives in collaboration with stakeholders.
• Drive innovation through the development of data products, establish best practices, and influence data governance guidelines and policies.
• Develop complex technical rules and scenarios to maximize the effectiveness of fraud detection and prevention programs.
• Apply statistical, data mining, and pattern‑analysis techniques to determine relationships between transactions, customer data, and known or predicted fraudulent behaviors.

• 5+ years of experience writing complex SQL queries.
• Advanced knowledge of statistical analysis.
• Proven expertise in identifying fraud through metrics and database queries in SQL and/or SAS.
• Experience with fraud vendors such as Threat Metrix, Alloy, and Biocatch.
• 5+ years of implementing controls and onboarding fraud vendors.
• Expertise with PowerPoint slides.
• Expertise with MS Excel (pivot tables, conditional formatting, etc.).
• Experience with Power BI.

• Typically 7+ years of relevant experience and a master’s degree in a related field.
• Advanced technical skills and knowledge in fraud and security management.
• Advanced knowledge of statistical analyses and human‑behavior modeling.
• In‑depth knowledge of risk and technology management as applied to fraud and/or criminal risk.
• Excellent verbal and written communication skills.
• Strong analytical and problem‑solving skills.
• Influence and collaboration skills, with a focus on cross‑group collaboration.
• Ability to manage ambiguity and make data‑driven decisions.

Pay Range: $ – $ (salaried). The above represents BMO Financial Group’s pay range and type. Salaries may vary based on location, skills, experience, education, and qualifications for the role. BMO offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. For more details of our benefits, visit

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e‑mail to  and let us know the nature of your request and your contact information.