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Manager – Fraud Risk Strategy and Servicing
American Express. Manage fraud losses for proprietary portfolio for Agentic Commerce .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in fraud management and data analysis, with a strong focus on developing strategies to mitigate fraud losses and enhance product integrations. Proficient in utilizing data processing tools and statistical techniques to drive insights and results in a fast-paced environment.
Highest-signal resume keywords
Fraud ManagementData Processing ToolsStatistical TechniquesProject ManagementStrong Presentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisMachine Learning AlgorithmsSQLPythonRSASHiveYellow BrickKPI EstablishmentFraud Strategy Controls
Soft Skills
Problem SolvingCollaborationCommunicationTrust BuildingAdaptability
Tools & Technologies
Agentic PaymentsAIDigital LabsGlobal Servicing
Industry Keywords
Fraud LandscapeEmerging Fraud TrendsPayment ProductsAgentic CommerceCompetitive Landscape
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Manage fraud losses for proprietary portfolio for Agentic Commerce
- Design 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 and monitor key metrics to take corrective actions
- Conceptualize and implement new variables to help reduce 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
Requirements
What you’ll need- 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; the company will not pursue visa sponsorship
Benefits
Comp & perks- 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