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 or its equivalent in Finance, Statistics, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, Computer Science, or a related field, and 2 years of experience with marketing analytics, including mix modeling, predictive analytics, and forecasting. Experience must include a minimum of: 1 year of experience with marketing modeling and statistical modeling techniques, including econometrics, regression, cluster analysis, segmentation, and data 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 transforming large amounts of unstructured data; 1 year of experience with developing functions in R to perform data analysis; and 1 year of experience with SAS, SQL, time series modeling, and MS Excel for spreadsheet modeling and reporting. Any suitable combination of education, training, or experience is acceptable.
JOB LOCATION: New York, NY
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Aug 9, 2020, 11:00:00 PM
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.