American Express Hiring Analyst – Data Analytics

Qualifications

• Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred.
• Proactive thinking and strong analytical skills
• 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
• Solid experience with analytical (SQL, Hive, Python, R) tools is expected
• Strong verbal and written communication skills, with the ability to translate between various technical and non-technical audiences
• Knowledge of credit risk strategy and/or payments industry is a plus

Roles & Responsibilities include:

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
• Monitor KYC/KYB health of Cardmembers and Legal Entity portfolios by creating dashboards (Tableau/Sisense)
• 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