American Express Careers

Senior Managers, Risk Management

New York, New York
Operations Risk Management

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Job Description

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 Master’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 data analysis.  Experience must include a minimum of: 1 year of experience with statistical modeling techniques, including A/B testing, regression, cluster analysis, segmentation, data and text mining; 1 year of experience with translating complex analyses for technical and non-technical audiences; 1 year of experience with working with technical, analytical, business, and non-technical teams; 1 year of experience with Python, R, SQL, Teradata, and MS Excel for data reporting and modeling;  1 year of experience with database structures and data manipulation languages, including SQL and SAS; 1 year of experience with Big Data tools and platforms, including Hadoop, Hive, MapR, Oozie, Pig, and Spark; and 1 year of experience with process improvement and automation, leveraging optimization algorithms and models, and driving transformational projects.

ReqID: 19004915
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Mar 13, 2019, 11:00:00 PM
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