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.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones’ physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.