Application Deadline: 11/15/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting

Key Responsibilities

Develop risk-based rules to identify FPF behaviors, including misrepresentation, synthetic identities, bust-outs, stolen IDs onboarding and post-origination fraud. Optimize risk-based rules, triggers, and alerting capabilities to identify first party fraud behaviors. Generate alerts for our onboarding channels to track delinquency, account monitoring Assess score effectiveness via Proof of Concept to ingest data into models Work with score vendor (TransUnion, Equifax) and risk engines Develop early warning indicators and monitoring tools to detect emerging fraud patterns and portfolio shifts. Build dashboards with relevant metrics Evaluate rule effectiveness through performance metrics, loss analysis, and ongoing testing. Partner with Fraud Strategy, Investigations, and Operations teams to ensure alerting frameworks drive actionable and prioritized investigations. Use advanced analytics, data mining, and behavioral insights to identify new first-part fraud typologies and translate insights into actionable rules. Apply advanced analytics, machine learning, statistical modeling, and data mining techniques to uncover new fraud risks and behavioral patterns. Design and scale predictive models and analytical solutions that improve fraud detection and support smarter business decisions. Conduct large-scale analysis across diverse data sources to identify trends, opportunities, and emerging threats. Leverage big data tools and modern analytics platforms to enhance fraud monitoring and decisioning capabilities. Collaborate with product, risk, technology, and business teams to support strategic decision-making, business planning, and future roadmap development.



Communicate complex analytical concepts and findings to executive and non-technical audiences in a clear and compelling manner. Influence enterprise fraud management strategies through thought leadership, innovation, and data-driven recommendations. Build strong partnerships across the organization to drive alignment and achieve business objectives. Qualifications

Technical & Analytical Expertise Advanced expertise in fraud analytics, statistical analysis, machine learning, and predictive modeling. Strong knowledge of first party fraud risk management and fraud detection methodologies, related to lending products. Expert-level understanding of: Mathematics, statistics, and operations research Machine learning and deep learning techniques Data wrangling, preprocessing, and feature engineering Big data environments and analytical platforms Data visualization and storytelling Model governance, ethics, bias, and responsible AI Experience developing fraud rules, alerts, and risk monitoring frameworks. Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms. Leadership & Business Skills Exceptional analytical, problem-solving, and critical-thinking capabilities. Strong verbal and written communication skills with the ability to influence senior stakeholders. Proven ability to lead through ambiguity and drive enterprise-wide outcomes.



Demonstrated success building partnerships across multiple functions and levels of the organization. Strong collaboration, relationship management, and stakeholder engagement skills. Experience leading and developing high-performing analytics teams. Education & Experience Bachelor’s Degree in a relevant field Typically 7-10+ years of relevant experience in fraud analytics, risk analytics, data science, or a related field, or an equivalent combination of education and experience. Prior analytical banking experience is an asset. Experience with banking products within a fraud scope and various risk engines with a key focus on onboarding Hands on skills with SQL, Power BI, Python, Dataiku, SAS Prior experience with score vendors (TransUnion, Equifax) Technical leader and thought partner with demonstrated success influencing strategy and driving transformational change. Salary

Salary:
$105,000.00
- $215,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs

📌 Senior Manager, First Party Fraud Analytics (Winnipeg)
🏢 Bank of Montreal
📍 Winnipeg