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Canada Post - Postes Canada

Officer, Fraud Intelligence

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 9, 2026
Experience: Minimum 5 years work experience in business intelligence, security management, fraud prevention, financial crime, risk management, security intelligence or related field;
Posting language: English
Posted: Sep 24, 2026

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Original job description

Job Requisition Id: 203847
Business Function: Security and Investigations
Primary City: Toronto
Other Location(s):Ottawa, Vancouver, Winnipeg
Province: Ontario
Employment Type: Full-Time
Employment Status: Permanent
Language Requirement: English Essential
Employee Class and Level: CPMGA01
Number of Vacancies 1
Job Closing Date (YYYY-MM-DD): 2026-10-08

Job Description

The Officer, Fraud Intelligence is responsible for the delivery of leading-edge analytical solutions to support actionable insights for the security team. The Officer will work with the team to document the requirements and develop innovative data products/solutions, leveraging their knowledge and insights in financial crimes analytics, statistical modelling and the Canadian and global threat environment resulting in continuous security and safeguarding of Canada Post assets, reputation, financial and operational status.

The position is primarily focused on identifying, assessing and mitigating fraud risks affecting the security interests of Canada Post through intelligence led analysis and proactive fraud prevention strategies.

Job Responsibilities

Below are the main job requirements and responsibilities for Officer, Fraud Intelligence:

Manages all stages of the information management lifecycle including the receipt, dissemination, organization, protection and evaluation of operational, investigative and fraud data from various internal/external sources as well as the development of requirement documents, detailed mapping documents and audit processes. Consults and distributes to appropriate stakeholders in order to support the attainment of Canada Post’s security objectives and ensures data is retained/purged as per record management guidelines.

Develops relationships with internal business partners, law enforcement agencies, financial institutions and external organizations to acquire, develop and integrate fraud intelligence, emerging trends and threat information impacting Canada Post.

Synthesizes current and historical information from multiple data sources to support actionable insights and decision-making processes through automation and technology.

Supports innovative data driven products and solutions to increase the function’s security value proposition by ensuring current products/solutions such as spreadsheets and datasets are kept up-to-date and are quickly accessible to field officers and operators ensuring continuous access to critical information resulting in successful incident resolution.

Keeps current with Canadian and international fraud, financial crime and threat intelligence environments and communicates the relevancy of trends effectively with stakeholders to support corporate and customer security interests as well as support proactive fraud prevention activities. Ensures knowledge transfer to team members and documents business processes to ensure future business continuity.

Job Responsibilities (continued)

Develops and presents analytical briefs to senior management that summarizes methodologies, information flow mapping highlighting key data sources, anticipated variables reviewed and expected output for analysis resulting in high level understanding of potential threats to Canada Post’s security.

Performs data analysis by conducting data mining tasks in order to build, evaluate and improve algorithms (i.e. classification, regression, clustering and text analysis) to identify patterns of data and/or to create models that are consistent and repeatable. 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 through continuous and iterative exploration of past business performances which drive business planning and decision-making.

Establishes and promotes collaborative tools to facilitate sharing of ideas and information among internal employees and external partners. Monitors progress and works collaboratively with other stakeholders of outcome areas ensuring synergy and harmonization across the function/company

Develops streamlined-strategies with other functional leads to enable continuous improvement and development.

Qualifications

Education

University degree in Security Management, business intelligence; Engineering, Finance, Commerce, Business Administration or related quantitative discipline (example: Math/Statistics)

Professional designations such as Certified Fraud Examiner (CFE), Certified Financial Crimes Specialist (CFCS) or similar would be an asset.

Experience

Minimum 5 years work experience in business intelligence, security management, fraud prevention, financial crime, risk management, security intelligence or related field;

Demonstrated experience in working with methodologies such as predictive modeling, profiling, segmentation forecasting, operations research and data mining.

Experience and/or knowledge with advanced analytical tools i.e. SQL, Oracle/Teradata, C, Python, SAP, SAS, and reporting tools: BO/Webi, and Tableau. Any other visualization tool experience can be an added asset.

Other Candidate Requirements

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 skills; analytical ability; strong judgment and leadership skills, and the 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 security domain;

Solution and results-oriented

Other Information

Canada Post’s values and behaviours

Our Values - 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. Learn more about the values and behaviours by visiting the Canada Post website.

Apply About employer

More about this job

Responsibilities

The Officer, Fraud Intelligence is responsible for delivering analytical solutions and actionable insights to mitigate fraud risks and protect Canada Post assets. They manage the information lifecycle, develop data products, and collaborate with internal and external stakeholders to identify emerging threats.

Requirements

Candidates must possess a university degree in a quantitative discipline or security management and at least 5 years of relevant experience in fraud prevention or business intelligence. Proficiency in analytical tools such as SQL, Python, and SAS, along with the ability to maintain top-secret security clearance, is required.

Skills

Fraud Intelligence
Data Mining
Predictive Modeling
SQL
Python
SAS
Tableau
Financial Crimes Analytics
Risk Management
Statistical Modelling
Security Intelligence
Data Analysis
Information Management
Threat Intelligence
Algorithm Development

Visa sponsorship

Not detected in the job text

Keywords

Fraud Intelligence
Security Management
Business Intelligence
Data Mining
Predictive Modeling
Financial Crimes
Risk Management
SQL
Oracle
Teradata
Python
SAP
SAS
Tableau
Data Analysis
Threat Intelligence
Algorithm Development
Classification
Regression
Clustering
Text Analysis
Supply Chain Security
Certified Fraud Examiner
Certified Financial Crimes Specialist
Information Management
Data Visualization
Operations Research
Security
Fraud Prevention
Analytical Briefs

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