Manager – Fraud Risk Strategy and Servicing– Agentic Commerce

The fraud landscape is dynamic, and the modus operandi are always evolving, with fraudsters becoming ever more sophisticated and leveraging new technology for committing fraud. At the same time, the advent of Agentic AI and Agentic commerce is driving exciting innovations in the payments space but also creating new attack vectors for fraudsters.  Addressing these trends will require rapid and effective decision making, strong collaboration with internal and external partners and a strong external focus to stay plugged in to innovations, new form factors and of course adaptations by fraudsters.

The Agentic Commerce Fraud Risk team is looking for an energetic and high-performing Manager to drive innovation in Fraud Strategy and servicing landscape. This exciting and critical position will be responsible for evaluating victim fraud risk and designing mitigation strategies for agentic commerce use cases. The role works very closely with Fraud Risk colleagues around the globe and with enterprise partners including Global Servicing, Labs, Enterprise Digital, Technology, and ensure we are doing it the right way.

Responsibilities

• Manage fraud losses for proprietary portfolio for Agentic Commerce
• Designing victim fraud risk servicing strategies for agentic commerce use cases
• Minimize Unprofitable Fraud Related Disruptions, with specific focus on Fraud Strategy Controls
• Address Emerging Fraud Trends & Monitor Key Metrics to take Corrective Actions
• Conceptualize and implement new variables which would help in reducing approved fraud
• Partner with Global Servicing, Digital Labs, and other teams
• Provide thought leadership for new agentic product integrations
• Lead integration of new data sources
• Establish KPIs and KRIs
• Participate in new product development discussions as needed
• Address Emerging Fraud Trends & Monitor Key Metrics to take Corrective Actions

Qualifications

• Undergraduate / master’s degree in science, Technology, Engineering, Mathematics, or Computer Science
• Experience with data processing tools such as R, SAS, SQL, Hive, Yellow Brick, or Python is required
• Understanding of statistical techniques related to data analysis and correlation
• Knowledge of machine learning algorithms is a plus
• Working knowledge of fraud landscape and emerging fraud trends in the card space is a plus
• Understanding of payment products, emerging technologies and competitive landscape is preferred
• Ability to manage multiple requests and changing priorities and to work in a fast-paced dynamic environment
• Proven track record of working proactively and independently to solve problems and drive results
• Strong presentation skills to convey data and fraud insights to different stakeholders
• Ability to build collaborative, trusting relationships
• Strong project management and communication skills to work effectively in a team environment
• Experience/knowledge of Agentic Payments/AI preferred

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.