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Job Title


Sr Analyst, Fraud Analytics


Company : Rogers Bank


Location : Toronto, Ontario


Created : 2025-10-30


Job Type : Full Time


Job Description

Get AI-powered advice on this job and more exclusive features. 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 cashback benefits and financing options for Rogers purchases using cuttingedge technology. Interested? Take the next step and consider this opportunity to make a meaningful impact with Rogers Bank. Who We Are Looking For The Sr. Analyst, Fraud Analytics will contribute to creating dashboards, generating insights and analytics, and enhancing the reporting team's efficiency through report automation. This role will work closely with the Fraud Analytics Manager and Fraud Investigations team. What Youll Do Generate new insights to improve fraud detection and overall efficiency across the team, and maintain existing reporting inventory. Contribute to automation of key reports and dashboards to enhance data availability for the wider Fraud Management and Operations team. Create and maintain scorecards and KPIs to measure frontline performance. Automate and update weekly financial and operational KPIs. Summarize and effectively communicate insights to technical and nontechnical audiences. Prepare adhoc reporting requests. Identify opportunities to enhance available intelligence and insights to improve fraud detection, performance management and decision making. Ensure data quality and recommend best practices to ensure accuracy. Prioritize multiple deliverables and support a variety of projects and initiatives across Fraud Management. Collaborate with Systems Admins, Fraud Operations and other business partners. What You Bring University degree in a quantitative field, such as Business, Economics or Computer Science (preferred). 2+ years analytical experience, ideally related to Fraud Analytics. 2+ years experience in Fraud and/or Telecommunications is strongly desired. Experience querying large datasets with software and various programming languages such as SQL, SAS and MS Excel. Experience with Databricks and Power BI strongly preferred. Strong critical thinking and analytical skills with the ability to solve complex problems and develop datadriven solutions. Must be selfmotivated, resultsoriented and committed to adding value to the organization. Strong communication skills to collaborate with vendor and internal stakeholders. To protect our people, brand and assets, a preemployment 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: 333 Bloor Street East (012), Toronto, ON Travel Requirements: Up to 10% Background Check(s) Required: Criminal Record and Credit Check 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 . #J-18808-Ljbffr