Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Agent, Gestion des risques, réclamations role.
Rezi rewrites your resume against Canada Post - Postes Canada's job description. Free.
Tailor your resume to this Agent, Gestion des risques, réclamations role.
Rezi rewrites your resume against Canada Post - Postes Canada's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Agent, Gestion des risques, réclamations posting at Canada Post - Postes Canada — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Agent, Gestion des risques, réclamations posting at Canada Post - Postes Canada — free, in seconds.
About the Role
The Fraud Intelligence Officer is responsible for delivering cutting-edge analytics to provide strategic insights to the security team. They will collaborate with team members to document requirements and develop innovative data solutions and products, leveraging expertise in financial crime analytics, statistical modeling, and the Canadian and global threat landscape to ensure the ongoing safety and security of Canada Post's assets, reputation, financial, and operational health. The role focuses on identifying, assessing, and mitigating fraud risks impacting Canada Post's security interests through intelligence-led analysis and proactive fraud prevention strategies.
Responsibilities
- Manage all stages of the information management lifecycle, including receiving, disseminating, organizing, safeguarding, and evaluating operational, investigative, and fraud detection data from various internal and external sources.
- Develop requirements documentation, detailed data mapping documents, and verification processes.
- Consult and distribute intelligence to appropriate stakeholders to support Canada Post's security objectives.
- Ensure data is retained and disposed of in accordance with records management guidelines.
- Liaise with internal business partners, law enforcement agencies, financial institutions, and external organizations to acquire, develop, and integrate fraud intelligence, emerging trends, and threats affecting Canada Post.
- Summarize current and historical intelligence from multiple data sources to support strategic insights and decision-making processes through automation and technology.
- Support innovative data-driven solutions and products to enhance the security value proposition.
- Ensure existing products and solutions, such as spreadsheets and datasets, are kept up-to-date and readily accessible to regional agents and operators.
- Stay abreast of fraud, financial crime, and threat intelligence practices and developments in Canada and abroad.
- Effectively communicate relevant trends to stakeholders to support the security interests of the organization and its customers, as well as proactive fraud prevention activities.
- Facilitate knowledge transfer to team members and document administrative procedures to ensure business continuity.
- Develop and present analytical documentation for senior management summarizing methodologies, information flow mapping highlighting key data sources, review of anticipated variables, and expected outcomes for analysis.
- Perform data analysis by executing data mining tasks to create, evaluate, and enhance algorithms (e.g., classification, regression, clustering, and text analysis) to determine data structures or create consistent and repeatable models.
- Leverage analytical techniques to identify fraud trends, detect anomalies, and support intelligence-led fraud investigations and prevention initiatives.
- Contribute to business readiness and resilience through continuous and iterative exploration of past operational performance that enhances business planning and decision-making.
- Establish and promote collaboration tools to facilitate the exchange of ideas and intelligence among internal employees and external partners.
- Monitor progress and work collaboratively with other stakeholders in relevant sectors to ensure synergy and alignment across the function or enterprise.
- Develop streamlined strategies with other functional leaders to foster continuous improvement and development.
Requirements
- University degree in Security Management, Business Intelligence, Engineering, Finance, Commerce, Business Administration, or a related quantitative discipline (e.g., Mathematics or Statistics).
- Professional designations such as Certified Fraud Examiner (CFE), Certified Financial Crimes Specialist (CFCS), or similar, are an asset.
- Minimum of five years of experience in business intelligence, security management, fraud prevention, financial crime, risk management, security intelligence, or a related field.
- Proven experience working with methodologies such as predictive modeling, profiling, segmentation forecasting, operations research, and data mining.
- Experience or knowledge of advanced analytics tools, such as SQL, Oracle/Teradata, C, Python, SAP, SAS, and reporting tools like BO/Webi and Tableau.
- Any other experience related to visualization tools may be an additional asset.
- Meet and maintain 'Top Secret' security clearance requirements.
- Excellent understanding of information management and fraud intelligence lifecycles.
- Demonstrated knowledge of supply chain security practices.
- Excellent written and oral communication skills.
- Analytical skills, good judgment, and strong leadership competencies.
- Ability to work effectively with colleagues, stakeholders, and senior management.
- Ability to participate in meetings with clients and partners.
- Proven ability to protect all functional knowledge through resource attrition.
- Ability to acquire and analyze fraud intelligence from internal and external sources to support operational insights.
- Ability to manage large data sources or large volumes of data.
- Demonstrated commitment to training, self-learning, and maintaining skills in the security field.
- Solution-oriented and results-driven approach.
Skills
- Analytics
- Data Mining
- Predictive Modeling
- Profiling
- Segmentation Forecasting
- Operations Research
- SQL
- Oracle/Teradata
- C
- Python
- SAP
- SAS
- BO/Webi
- Tableau
- Information Management
- Fraud Intelligence
- Supply Chain Security
- Collaboration
- Communication
- Analytical Skills
- Leadership
Location
- Toronto, Ontario
- Ottawa, Ontario
- Vancouver, British Columbia
- Winnipeg, Manitoba
Work Type
- Full-time
- Permanent
Experience Level
- 5+ years
Education Level
- University degree in Security Management, Business Intelligence, Engineering, Finance, Commerce, Business Administration, or a related quantitative discipline (e.g., Mathematics or Statistics)
- Certified Fraud Examiner (CFE)
- Certified Financial Crimes Specialist (CFCS)
About the Company
- Canada Post's values are Trust, Respect, and Contribution, representing our fundamental promise to ourselves, our expectations of each other, and our shared commitment to our country.
- Canada Post's behaviors are Make Decisions, Know Where You're Going, Contribute for Others, and Contribute to Pride; they embody our values, bring them to life, and guide our actions.
- We are committed to embodying these values and putting these behaviors into practice every day.