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About the Role
The Officer, Fraud Intelligence is responsible for delivering leading-edge analytical solutions to provide actionable insights for the security team. This role involves documenting requirements, developing innovative data products/solutions, and leveraging knowledge in financial crimes analytics, statistical modeling, and the Canadian and global threat environment to safeguard Canada Post's assets, reputation, and operations. The position focuses on identifying, assessing, and mitigating fraud risks through intelligence-led analysis and proactive prevention strategies.
Responsibilities
- Manages the information management lifecycle, including receipt, dissemination, organization, protection, and evaluation of operational, investigative, and fraud data.
- Develops requirement documents, detailed mapping documents, and audit processes.
- Consults and distributes information to stakeholders to support Canada Post’s security objectives.
- Ensures data is retained/purged according to record management guidelines.
- Develops relationships with internal business partners, law enforcement, financial institutions, and external organizations to acquire and integrate fraud intelligence and threat information.
- Synthesizes current and historical information from multiple data sources to support actionable insights and decision-making through automation and technology.
- Supports innovative data-driven products and solutions to enhance the function’s security value proposition.
- Ensures current products/solutions like spreadsheets and datasets are up-to-date and accessible to field officers and operators.
- Keeps current with Canadian and international fraud, financial crime, and threat intelligence environments.
- Communicates the relevancy of trends effectively with stakeholders to support corporate and customer security interests.
- Supports proactive fraud prevention activities.
- Ensures knowledge transfer to team members and documents business processes for business continuity.
- Develops and presents analytical briefs to senior management summarizing methodologies, information flow mapping, key data sources, variables reviewed, and expected output.
- Performs data analysis by conducting data mining tasks to build, evaluate, and improve algorithms (e.g., classification, regression, clustering, text analysis).
- Leverages analytical techniques to identify fraud patterns, detect anomalies, and support intelligence-led fraud investigations and prevention initiatives.
- Contributes to the company’s readiness and resilience by exploring past business performances to drive business planning and decision-making.
- Establishes and promotes collaborative tools for sharing ideas and information among internal employees and external partners.
- Monitors progress and works collaboratively with stakeholders to ensure synergy and harmonization across the function/company.
- Develops streamlined strategies with other functional leads for continuous improvement and development.
Requirements
- University degree in Security Management, business intelligence, Engineering, Finance, Commerce, Business Administration, or a related quantitative discipline (e.g., Math/Statistics).
- Professional designations such as Certified Fraud Examiner (CFE), Certified Financial Crimes Specialist (CFCS), or similar are an asset.
- Minimum 5 years of work experience in business intelligence, security management, fraud prevention, financial crime, risk management, security intelligence, or a related field.
- Demonstrated experience working with methodologies such as predictive modeling, profiling, segmentation forecasting, operations research, and data mining.
- Experience and/or knowledge with advanced analytical tools like SQL, Oracle/Teradata, C, Python, SAP, SAS, and reporting tools: BO/Webi, and Tableau.
- Any other visualization tool experience can be an added asset.
- Must meet and maintain top secret security requirements.
- Strong understanding of information management and fraud intelligence cycles.
- Demonstrated knowledge of supply chain security practices.
- Excellent written and oral communication skills.
- Strong analytical ability, judgment, and leadership skills.
- Ability to work effectively with peers, stakeholders, and senior leaders.
- Ability to participate in customer and partner-facing meetings.
- Proven ability to protect functional body of knowledge through resource attrition.
- Ability to acquire and analyze fraud intelligence from internal and external sources to support actionable operational insights.
- Aptitude to manage large data sources/data flows.
- Established commitment to training, self-study, and maintaining proficiency in the security domain.
- Solution and results-oriented.
Skills
- Financial crimes analytics
- Statistical modelling
- Data mining
- Predictive modeling
- Profiling
- Segmentation forecasting
- Operations research
- SQL
- Oracle/Teradata
- C
- Python
- SAP
- SAS
- BO/Webi
- Tableau
- Information management
- Fraud intelligence cycles
- Supply chain security practices
- Analytical ability
- Judgment
- Leadership skills
Location
- Toronto, Ontario
- Ottawa, Ontario
- Vancouver, British Columbia
- Winnipeg, Manitoba
Work Type
- Full-Time
- Permanent
Experience Level
- Minimum 5 years work experience
Education Level
- University degree
- Certified Fraud Examiner (CFE)
- Certified Financial Crimes Specialist (CFCS)
About the Company
- Canada Post’s values and behaviours - Trust, Respect and Deliver represent our fundamental promise to ourselves, our expectations of one and another and our shared duty to our country.
- Our behaviours – Make the call, Know the destination, Deliver for others, Ignite our pride; embody our values, bringing them to life and guiding our actions.
- We’re committed to living these values and practicing these behaviours every day.