Company: American Express
Location: Hybrid (Work from home and office)
At American Express, we believe in the power of people and businesses to progress in incredible ways. As a global company, we’re committed to supporting our customers, communities, and colleagues. When you join Team Amex, you’ll be part of a diverse, inclusive community with an unwavering commitment to providing the world’s best customer experience—every day. We offer a supportive environment where everyone has the opportunity to share in the company’s success and grow their career.
The International Operational Excellence team at American Express is a newly expanded organization responsible for supporting our international Issuing and Acquiring businesses. We ensure a robust first line of defense, support business growth objectives, and manage risk, respond to new regulations, and develop new products across 27+ markets.
Our Financial Crime Risk Data Integrity team leverages data analytics to drive Anti-Money Laundering (AML) solutions. We’re committed to transforming strategies and using data to fight financial crime while maintaining an effective control framework. As part of this team, you’ll help develop data-driven strategies to optimize AML risk and enhance customer experience.
As a Financial Crime Risk Data Analyst, you will perform advanced analytics to support Financial Crime Risk (FCR) initiatives in a dynamic regulatory environment. Your role will focus on working with large datasets, monitoring KYC/KYB health, and driving insights that optimize AML risk. You'll partner with cross-functional teams including Compliance, Technology, and PMO, and use tools like SQL, Python, and Tableau/Sisense to define and implement effective AML risk strategies.
American Express provides comprehensive benefits to support the holistic well-being of our colleagues, including:
American Express is an equal opportunity employer and values diversity. We make 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.
