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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 this 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.
The newly created first line of defense Financial Crimes Risk & Controls center of excellence will provide a holistic, enterprise-wide approach to AMEX's financial crimes risk management (FCRM) activities. This team will be responsible for establishing a robust control foundation for first line of defense FCRM activities across the company globally, including anti-money laundering, sanctions, payments controls, and anti-corruption segments. The team will partner closely with Technology to develop and deploy next generation capabilities that address key gaps and strengthen the first line's ability to detect and prevent financial crimes across lines of business. The team will work in coordination with the Global Financial Crimes Compliance (GFCC) team within the Global Risk & Compliance organization.
We are seeking an Analyst/Senior Analyst to drive Financial Crimes related analytics and reporting. This role will require the candidate to leverage data analytics to identify emerging financial risks to enable effective financial crime risk management.
The individual would be responsible for end-to-end execution of the project from problem definition, data analysis/interpretation to develop the storyline with insights/recommendations. Candidate is required to create strategic insights by quickly understanding new data presented in front of them and making decisions based on logic, business understanding and data techniques.