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Managers, Risk Management

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Job Description

American Express Company seeks Managers, Risk Management to develop business strategies and risk management solutions, leveraging commercial or consumer bureau data.  Analyze structured and unstructured data and translate data using statistical, financial, machine learning, or business intelligence techniques.  Collaborate 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.  Utilize industry and internal best practices and incorporate regulatory feedback as needed to drive continuous improvement in risk management methodologies and frameworks.

Minimum Qualifications

Position requires a Master’s degree in Finance, Statistics, Mathematics, Econometrics, Operations Research, Engineering, Computer Science, Business Administration, or a related field, and 2 years of experience with data analysis and statistical modeling techniques, including regression, cluster analysis, and segmentation.  Experience must include a minimum of: 1 year of experience with stochastic optimization algorithms, gradient descent algorithms, pattern recognition, and machine learning; 1 year of experience with business and statistic model simulation using simulation tools, including MATLAB; 1 year of experience with Big Data tools and platforms, including Hadoop, Pig, and Hive; 1 year of experience with translating complex analyses for technical and non-technical audiences; and 1 year of experience with C, C++, MS Excel for data reporting and modeling, SAS, SQL, and Teradata.

 

JOB LOCATION: Phoenix, AZ

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.

 


ReqID: 21004475
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Mar 3, 2021, 12:00:35 AM