American Express Company seeks Senior Managers, Risk Management to design and execute business strategies and risk management solutions, leveraging bureau commercial or consumer data. Drive the analysis of and analyze structured and unstructured data and translate data using statistical, financial, machine learning, or business intelligence techniques. Partner with technology and other groups on integration and implementation of risk management policies and business strategies. Identify and evaluate new data sources (regulated and non-regulated) that could add incremental profitability to American Express’s products/services. Promote the usage of industry and internal best practices and incorporate regulatory feedback as needed to drive continuous improvement in risk management methodologies and documentation.
Position requires a Bachelor’s degree in Finance, Statistics, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, Computer Science, or a related field, and 2 years of experience with risk analysis and risk management. Experience must include a minimum of: 1 year of experience with fraud risk management including identifying fraud rings and assessing identity theft fraud issues; 1 year of experience with end-to-end risk support for new product development for prepaid products; 1 year of experience with financial modeling and statistical modeling techniques, including regression, cluster analysis, segmentation, and data and text mining; 1 year of experience with analysis of large datasets; 1 year of experience with translating complex analyses for technical and non-technical audiences; 1 year of experience with using precision tree tools to evaluate profitability; and 1 year of experience with SAS, SQL, decision tree, time-series modeling, Teradata, MS Excel for spreadsheet modeling and reporting, and benchmark reporting.
JOB LOCATION: New York, NY
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Nov 23, 2018, 12:00:00 AM