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About the Role

As a key member of the Fraud Strategy team, the Senior Fraud Analyst performs detailed trend analysis and makes business critical recommendations to enhance performance and reduce fraud loss exposure for both external and internal fraud so that the Bank operates within its risk appetite. The role proactively evaluates program performance, with the goal of identifying and assisting in the delivery of process improvements to drive operational efficiencies, new system capabilities, and enhanced service delivery to Rogers Bank customers.

Responsibilities

Assist in the development and performance monitoring to optimize fraud prevention and detection while maintaining a balanced approach between mitigation and risk appetite.
Proactively identify trends, draw meaningful conclusions, and deliver change recommendations at a strategic and tactical level.
Develop strong knowledge of fraud delivery platforms to articulate enhancement requirements based on industry best practices and business needs, ensuring that solutions are operationally and technologically sound and can be integrated into business processes.
Leverage industry tools and provide insights to monitor and minimize fraudulent credit card transactions across the entire account life cycle, including originations, authorizations and account reissue.
Perform regular analysis of fraud losses, transaction activity, and monitor fraud-related metrics and investigate unusual trends, data discrepancies to identify key drivers, emerging risks, and opportunities for fraud prevention.
Assist with developing, analyzing, distributing fraud reporting, and translate business requirements into data solutions and provide results with meaningful and actionable information.
Support the development and improvement of reporting processes, including data validation, script automation, and enhancements to reporting efficiency and accuracy.
Partner with cross-functional teams, including Fraud Operations, Finance, Acquisition, Credit Risk, third-party vendors to support data and reporting needs, identify and address emerging threats and provide data-driven analytics and insights.

Requirements

University or master’s degree in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline.
Demonstrated work experience in data analytics, business intelligence, financial services, or credit card industry.
Working knowledge of TSYS TS2, CardGuard, Determinator, Broadcom/Arcot, MasterCard Connect system, and credit card fraud detection systems is considered as asset.
Proficient in utilizing analytical tools and programming languages to perform data extraction, preparation, manipulation, analysis, and visualization, including SQL, Python, Power BI, and Excel, and understanding of relational databases.
Working knowledge of developing performance dashboards, reports, and business scorecards.
Proven ability to extract and interpret data; Providing meaningful insights and actionable recommendations from data.
Experience in leveraging scheduler programs to automate reporting functions and improve process efficiency.
Detail oriented, analytical, organized, and self-sufficient.
Ability to adapt and reprioritize in a fast-paced, changing work environment and work on multiple complex initiatives simultaneously.
A pre-employment background check will be conducted.
Candidates must clear a criminal background check.
A credit check and drivers abstract may be required depending on the role.

Skills

SQL
Python
Power BI
Excel
Data Analytics
Business Intelligence
Financial Services
Credit Card Industry
TSYS TS2
CardGuard
Determinator
Broadcom/Arcot
MasterCard Connect system
Credit card fraud detection systems
Performance Dashboards
Reporting
Business Scorecards
Data Extraction
Data Preparation
Data Manipulation
Data Analysis
Data Visualization
Relational Databases
Scheduler Programs
Process Automation
Trend Analysis
Fraud Prevention
Fraud Detection
Risk Management

Location

1 Mount Pleasant (083), Toronto, ON

Work Type

Full time
Onsite

Experience Level

Senior

Education Level

University or master’s degree in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline

Salary/Compensations

Competitive salary & annual bonus

Benefits

Competitive & flexible health and dental benefits
Pension plan
RRSP
TFSA
Stock matching programs
Up to 50% off Rogers Services
Blue Jays Tickets
25% off TSC items
20% discount on all wireless accessories sold in Rogers stores
Paid time off for volunteering
Company matching contributions to charities
Self-driven career development programs (E.g. MyPath program)
Rogers First: priority in applying to internal roles of interest
Homewood employee & family assistance program
Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
Low or no-cost fitness membership with access to virtual classes

About the Company

Rogers Bank is a subsidiary of Canada's leading wireless, cable and media company.
The bank offers unique cash-back benefits and financing options for Rogers purchases using cutting-edge technology.
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.
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.
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.

Equal Opportunity

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.