Manager of Business Analytics - Fraud

About the role

The organization operates in the consumer financing industry, providing flexible lease-to-own financing solutions to non-prime consumers through retail partners. It addresses challenges faced by consumers in managing large purchases and aims to increase sales and customer loyalty for retailers while offering customers flexible payment options and credit improvement opportunities. The company serves over two million customers and employs more than 200 team members.

The Manager of Business Analytics - Fraud is responsible for leading analytical efforts to develop and optimize the organization's fraud risk strategy. The role focuses on strengthening fraud defenses, monitoring fraud trends, and supporting product launches by providing insights that balance fraud risk with business growth. This position is critical in ensuring effective fraud controls are integrated across products and operations, protecting the organization as it scales.

Responsibilities

• Lead analysis and continuous improvement of fraud defense policies and frameworks.
• Analyze fraud trends to enhance automated and manual fraud defenses.
• Develop and adjust fraud defense strategies, including rules and thresholds.
• Design defenses for emerging channels supporting organizational growth.
• Evaluate and integrate new fraud detection tools and data sources.
• Enhance merchant-level fraud risk monitoring and reporting.
• Develop fraud monitoring dashboards and reporting tools.
• Build tools to detect anomalies and emerging fraud patterns.
• Implement automated alerting for new fraud threats.
• Collaborate with Analytics and Data teams to align fraud metrics.
• Support product launches by analyzing fraud risk and mitigation.
• Monitor fraud performance during pilots and scaling phases.
• Provide ad hoc analysis for fraud strategy initiatives.
• Partner with Product and Engineering to embed fraud controls.
• Collaborate with Risk Operations on manual review processes.
• Deliver analytical insights to support decision-making.
• Facilitate alignment across teams through project management and communication.

Requirements

• Bachelor’s degree required; preferred fields include Statistics, Mathematics, Economics, Business, or Engineering.
• Minimum 5 years experience in analysis, data science, or consulting.
• At least 3 years of experience in fraud risk analytics.
• Experience in consumer financing sectors such as credit cards, personal loans, auto loans, or BNPL.
• Proficiency in Excel, SQL, and Python for data analysis.
• Strong attention to detail and problem-solving skills.
• Ability to develop and execute strategic project plans.
• Comfortable working in a fast-paced, dynamic environment.
• Strong written and verbal communication skills.