Optimize chargeback processes to improve customer and operational outcomes
Act as point of contact for inquiries about fraud losses and trends
Mentor team members, providing feedback for operational and developmental success
Benefits
Flexible hybrid work environment
Opportunities for professional growth and development
Collaborative team culture
Access to cutting-edge fraud detection technology
Potential to influence fraud prevention strategies in a growing company
Full Job Description
Major Duties & Responsibilities:
Assist in designing and implementing fraud prevention frameworks, policies and controls tailored to a suite of new products
Support the design, enhancement, and ongoing maintenance of fraud detection tools, reporting frameworks, and real-time monitoring capabilities to identify suspicious activity
Analyze large datasets to detect early fraud trends, identify anomalies, and recommend countermeasures
Use SQL, Python, and visualization tools (e.g., Tableau) to build dashboards that track key fraud metrics and emerging trends
Support the testing and refinement of machine learning-driven fraud models
Develop and deliver fraud trend reports to leadership, highlighting high-risk areas, fraud attack vectors and recommendations
Implement A/B testing for fraud strategies to measure their impact on fraud reduction and false positives
Collaborate with product managers and engineers to strengthen fraud prevention tools and integrate risk signals across the customer journey
Partner with Operations to build fraud-related processes and establish policies
Support fraud risk assessments, forecasting fraud losses, and preparing materials for key stakeholders
Identify and implement automation opportunities to improve fraud detection efficiency and reduce manual review workload
Oversee end-to-end card lifecycle processes, including card issuance, usage monitoring, and ensuring a seamless and secure customer experience
Establish, manage and optimize chargeback processes by identifying trends, improving dispute handling, and enhancing overall customer and operational outcomes
Work with vendors and internal teams to optimize usage of tools and technology
Act as a key point of contact for internal teams, addressing inquiries related to fraud losses, trends, and insights.
Serve as a mentor and coach to team members by providing timely, continuous feedback to support the achievement of both development and operational objectives
Qualifications & Experience:
Degrees, Diplomas & Certifications:
A university degree in a related field, such as Business, Engineering, Data Science, or equivalent
Years and Range of Experience Required to Perform the Job:
The position requires 5+ years of experience in fraud operations, financial crime, or risk management within the financial services industry
Demonstrate a strong understanding of fraud vectors, tactics, and emerging trends across a broad range of financial products and services.
Proven experience working with card programs and payment ecosystems, with a strong understanding of fraud risks and controls
Experience working fraud detection tools, SQL, Python, Tableau for visualizations and analytics
Familiarity with fraud risk management - ideally at a startup or high growth-environment
Strong communication skills, with the ability to translate data insights into actionable business recommendations
Demonstrate a self-driven, energetic, and results-oriented approach, with a strong commitment to delivering value to the organization
Experience with KYC processes and AML/ATF requirements would be an asset.
The position requires strong written and verbal communication skills and exceptional organization and time management skills.
