FRAUD STRATEGY AND MODEL MANAGER

The Fraud Strategy and Model Manager is responsible for developing, optimizing, and maintaining fraud detection models. This role focuses on leveraging cutting-edge technologies, including LexisNexis, behavioral biometrics, and device profiling, to safeguard the organization against evolving fraud threats. The Fraud Model team is dedicated to identifying, investigating, and mitigating digital fraud risks. This role is responsible for coordinating efforts to proactively detect and address fraudulent activities affecting our business and consumer base, including identifying, investigating, and mitigating digital fraud risks.

Key Responsibilities and Duties

• Oversees the development and optimization of fraud detection models, leveraging tools such as LexisNexis Risk Solutions. Incorporates behavioral biometrics and device profiling into fraud prevention strategies to enhance detection accuracy. Ensures models adapt to new fraud tactics, optimizing performance with minimal false positives. Iteratively delivering solutions to develop towards target state.
• Prepares regular reports for senior management on fraud trends, investigation outcomes, and process improvements. Communicates effectively with internal stakeholders to inform risk management strategies. Establishes and monitors key performance indicators to measure the effectiveness of the ATO and scam strategy and implement improvements based on data-driven insights.
• Develops a strategic roadmap for adopting and integrating emerging technologies such as behavioral biometrics, device profiling, and advanced fraud analytics. Stays abreast of industry trends and propose innovative solutions to counter evolving fraud risks.
• Builds and maintains strong relationships internally and externally, including vendors, stakeholders and partners. Actively participates in industry forums. Collaborates with vendors to deploy effective fraud control changes.
• Monitors strategies to prevent, detect, and minimize fraud losses with a focus on proactive controls Identifies risk trends through deep understanding of fraud trends and drivers of loss in the payment space.
• Oversees the identification and investigation of digital fraud events. Develops and implements proactive review strategies for emerging external fraud scenarios. Collaborates with cross-functional teams to gather insights and strengthen fraud detection processes. Ensures timely escalation of high-risk issues and coordinate responses across relevant departments.
• Acts as a subject matter expert on digital fraud, providing insights and recommendations to influence business policy and strategy. Evaluates current fraud monitoring systems and recommend improvements.
• Develops and maintains documentation of fraud detection protocols, investigation procedures, and reporting mechanisms. Leverages data analytics tools to enhance fraud detection accuracy and efficiency.
• Partners with fraud operations, IT, compliance, and risk teams to integrate advanced fraud detection technologies. Presents insights, recommendations, and performance updates to senior leadership and key stakeholders.
• Ensures all fraud detection strategies comply with regulatory standards, including Anti-Money Laundering (AML) and Know-Your-Customer (KYC) requirements. Documents methodologies for behavioral biometrics and device profiling models to ensure audit readiness.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

• Oversees the development and optimization of fraud detection models, leveraging tools such as LexisNexis Risk Solutions. Incorporates behavioral biometrics and device profiling into fraud prevention strategies to enhance detection accuracy. Ensures models adapt to new fraud tactics, optimizing performance with minimal false positives. Iteratively delivering solutions to develop towards target state.
• Prepares regular reports for senior management on fraud trends, investigation outcomes, and process improvements. Communicates effectively with internal stakeholders to inform risk management strategies. Establishes and monitors key performance indicators to measure the effectiveness of the ATO and scam strategy and implement improvements based on data-driven insights.
• Develops a strategic roadmap for adopting and integrating emerging technologies such as behavioral biometrics, device profiling, and advanced fraud analytics. Stays abreast of industry trends and propose innovative solutions to counter evolving fraud risks.
• Builds and maintains strong relationships internally and externally, including vendors, stakeholders and partners. Actively participates in industry forums. Collaborates with vendors to deploy effective fraud control changes.
• Monitors strategies to prevent, detect, and minimize fraud losses with a focus on proactive controls Identifies risk trends through deep understanding of fraud trends and drivers of loss in the payment space.
• Oversees the identification and investigation of digital fraud events. Develops and implements proactive review strategies for emerging external fraud scenarios. Collaborates with cross-functional teams to gather insights and strengthen fraud detection processes. Ensures timely escalation of high-risk issues and coordinate responses across relevant departments.
• Acts as a subject matter expert on digital fraud, providing insights and recommendations to influence business policy and strategy. Evaluates current fraud monitoring systems and recommend improvements.
• Develops and maintains documentation of fraud detection protocols, investigation procedures, and reporting mechanisms. Leverages data analytics tools to enhance fraud detection accuracy and efficiency.
• Partners with fraud operations, IT, compliance, and risk teams to integrate advanced fraud detection technologies. Presents insights, recommendations, and performance updates to senior leadership and key stakeholders.
• Ensures all fraud detection strategies comply with regulatory standards, including Anti-Money Laundering (AML) and Know-Your-Customer (KYC) requirements. Documents methodologies for behavioral biometrics and device profiling models to ensure audit readiness