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Rogers Bank

Fraud Analyst

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 11, 2026
Experience: 2+ years of experience in analytics, business intelligence, fraud, risk, or a related field.
Posting language: English
Posted: Oct 12, 2026

Original job description

Looking to join a growing financial services team? Rogers Bank, a subsidiary of Canada's leading wireless, cable and media company, is expanding and seeking passionate individuals to develop and implement innovative financial solutions and experiences. The bank offers unique cash-back benefits and financing options for Rogers purchases using cutting-edge technology. Interested? Take the next step and consider this opportunity to make a meaningful impact with Rogers Bank.

Who We Are Looking For

The Fraud Analyst supports fraud prevention and detection through data-driven analysis, reporting, and performance monitoring. This role combines recurring reporting responsibilities with investigative and ad hoc analytics to identify fraud trends, emerging risks, and opportunities to improve business outcomes.

What You'll Do

Analyze fraud trends, loss drivers, operational performance, and customer behavior.
Conduct ad hoc investigations and analytical deep dives to identify emerging fraud risks.
Develop, maintain, and enhance fraud dashboards, scorecards, and KPI reporting.
Produce recurring operational and performance reporting.
Monitor fraud detection strategies and identify optimization opportunities.
Translate data into actionable insights and business recommendations.
Partner with stakeholders across Fraud Operations, Risk, Finance, Product, Technology, and external vendors.

Required

What you bring

2+ years of experience in analytics, business intelligence, fraud, risk, or a related field.
Strong SQL and Excel skills.
Experience with Power BI, Tableau, or similar visualization tools.
Strong analytical, problem-solving, and communication skills.
Experience working with large datasets and delivering business insights.

Preferred

Python and/or Databricks experience.
Reporting automation and process improvement experience.
Fraud analytics or risk management experience.
Exposure to predictive analytics, machine learning, or advanced analytical techniques.

Key Competencies

Analytical thinking and critical problem-solving
Investigative mindset and intellectual curiosity
Strong stakeholder communication skills
Ability to manage multiple priorities in a fast-paced environment
Continuous learning and process improvement mindset

Additional Information

Fraud experience is considered an asset; however, candidates with strong analytical backgrounds in risk, telecommunications, banking, e-commerce, cybersecurity, or business intelligence are encouraged to apply.

We are seeking a strong analytical talent rather than a fraud subject matter expert. Candidates with exceptional data analysis, problem-solving, and communication skills will be well positioned for success in this role.

What’s in it for you?

We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including

Competitive salary & annual bonus
Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
Discounts Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
Paid time off for volunteering
Company matching contributions to charities you support
Growth & Development Opportunities

Self-driven career development programs (E.g. MyPath program)
Rogers First priority in applying to internal roles of interest

Wellness Programs

Homewood employee & family assistance program
Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
Low or no-cost fitness membership with access to virtual classes

Our commitment to the environment and diversity

Work for an organization committed to environmental protection
Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great.

If you are selected to move forward in the recruitment process, here is what you can expect

15-minute phone screen with your recruiter, an interview with Hiring Manager, a final round virtual interview with Director of the team. Best of luck!

To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule Full time

Shift Day

Length of Contract Not Applicable (Regular Position)

Work Location 1 Mount Pleasant (083), Toronto, ON

Travel Requirements None

Background Check(s) Required Criminal Record and Credit Check

Posting Category/Function Reporting and Analytics & Analyst

Requisition ID 342963

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.

Posting Notes Rogers Bank

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More about this job

Responsibilities

Analyze fraud trends, losses, operational performance, and customer behavior, and conduct investigations to identify emerging risks and improvement opportunities. Develop and maintain dashboards, scorecards, and recurring reports; monitor fraud strategies; and communicate actionable recommendations to cross-functional stakeholders.

Requirements

Requires at least two years of experience in analytics, business intelligence, fraud, risk, or a related field, along with strong SQL and Excel skills and experience using a visualization tool such as Power BI or Tableau. Candidates should be skilled in analyzing large datasets, solving problems, and communicating insights; Python, Databricks, automation, and fraud or risk experience are preferred.

Skills

Fraud Analytics
SQL
Excel
Power BI
Tableau
Data Analysis
Business Intelligence
Fraud Detection
Risk Analysis
Dashboard Development
KPI Reporting
Data Visualization
Python
Databricks
Stakeholder Communication
Problem-Solving

Benefits

Competitive Salary
Annual Bonus
Health Benefits
Dental Benefits
Pension Plan
RRSP
TFSA
Stock Matching
Employee Discounts
Paid Volunteer Time
Career Development Opportunities
Employee Assistance Program
Cognitive Behavioural Therapy
Virtual Therapy
Fitness Membership

Visa sponsorship

Not detected in the job text

Keywords

Fraud Prevention
Fraud Detection
Fraud Analytics
Risk Management
SQL
Excel
Power BI
Tableau
Python
Databricks
Business Intelligence
Data Analysis
Large Datasets
Fraud Trends
Loss Drivers
Customer Behavior
Ad Hoc Investigations
Dashboards
Scorecards
KPI Reporting
Operational Reporting
Performance Monitoring
Reporting Automation
Process Improvement
Predictive Analytics
Machine Learning
Financial Services
Stakeholder Collaboration

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