Director, First Party Fraud Analytics

Hybrid work model: 3 days per week in the office.

We are seeking a strategic and analytical leader to advance BMO’s First Party Fraud (FPF) analytics capabilities. The Director will develop and execute data‑driven strategies to proactively identify, measure and mitigate first-party fraud risk while balancing customer experience, portfolio performance and business growth objectives. Working closely with Technology, Data & Analytics, Risk and Business stakeholders, the Director will leverage advanced analytics, machine learning and behavioral insights to strengthen fraud detection, improve loss attribution and support real‑time risk decisioning.

As Enterprise Fraud Management (EFM) evolves its typology‑based approach to first‑party fraud, the Director will build and enhance a framework that distinguishes fraud from traditional credit risk, enables more effective controls, stronger detection capabilities and improved fraud loss management. Operating at an enterprise level, the Director will influence fraud analytical strategies, drive innovation and serve as a trusted advisor on emerging fraud trends and analytics best practices.

Key Responsibilities

• Develop risk‑based rules to identify FPF behaviors including misrepresentation, synthetic identities, bust‑outs, stolen IDs and post‑origination fraud.
• Design, implement and continuously optimize risk‑based rules, triggers and alerting capabilities to identify first party fraud behaviors.
• Develop early warning indicators and monitoring tools to detect emerging fraud patterns and portfolio shifts.
• Evaluate rule effectiveness through performance metrics, loss analysis and ongoing testing.
• Ensure appropriate fraud detection frameworks are in place, including application risk assessment, document fraud detection, transaction monitoring and behavioral analytics.
• Perform link analysis and data mining to hunt for fraudulent accounts and fraud rings through referrals from Operations/LOB.
• Provide strategic oversight to analytics teams to ensure models, rules, triggers and alerts are risk‑based, explainable and effective.
• 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‑party 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.
• Foster a high‑performance culture aligned to BMO’s Purpose, Values and strategic priorities.
• Attract, develop and retain top analytical talent.
• Provide coaching, mentorship and career development opportunities for team members.
• Drive accountability, recognize strong performance and support continuous improvement.
• Champion diversity, equity and inclusion through leadership actions and team practices.

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, 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 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 managing teams of 5+ in a people‑manager capacity.
• Experience with lending products fraud, risk engines.
• Recognized as a seasoned expert with deep industry knowledge and a track record of delivering business impact through analytics and innovation.
• Technical leader and thought partner with demonstrated success influencing strategy and driving transformational change.

Salary: $132,600.00 - $231,000.00

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, visit:

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.