Analyst-Data Analytics

International Operational Excellence is a newly expanded organization, responsible for supporting our international Issuing and our international Acquiring businesses across 27+ markets in ensuring a robust first line of defense, and in playing an active role in supporting the Business meet its growth objectives whilst demonstrating an effective control framework. Our organization helps our international businesses manage risk, respond to new regulation, and develop new products whilst creating and nurturing effective partnerships across multiple key stakeholders across the organization. The organization also leads an enterprise-wide International Financial Crimes Transformation program and is building an international first line privacy function designed to strengthen our enterprise-wide controls around privacy and information protection. This role is a part of Financial Crime Risk Data Integrity team which is responsible for transformation of strategies to fight financial crime. We leverage data analytics to drive future state Anti-Money Laundering (AML) solutions.

• Perform analytics to support multiple workstreams within FCR (Financial Crime Risk) in a dynamic regulatory environment (using SQL/Python)
• Work with large volumes of structured and unstructured data to drive meaningful insights
• Identifying data and process gaps, partnering with teams to enable remediation followed by issue management across Amex systems to mitigate risks
• Monitor KYC/KYB health of Cardmembers and Legal Entity portfolios by creating dashboards (Tableau/Power BI)
• Define and build robust data driven strategies to optimize AML risk and enhance customer experience
• Partner with multiple teams (Compliance, Tech, PMO) to define AML risk strategies and understand the regulatory framework for the respective markets

Minimum Qualifications:

• Bachelors'/Masters' Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred.
• Past Experience: Minimum of 0-2 years of relevant work experience.
• Proactive thinking and strong analytical skills
• Solid experience with analytical (SQL, Hive, Python, R, LUMI) tools is expected
• Strong ability to solve unstructured problems through data
• Strong process mindset and ability to collaborate
• Excellent critical thinking and attention to detail
• Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities
• Proactive learner with the ability to quickly learn new concepts and techniques with minimal supervision
• Strong verbal and written communication skills, with the ability to translate between various technical and non-technical audiences

Preferred Qualifications:

• Knowledge of credit risk strategy and/or payments industry is a plus