Locations:New York, New York
Categories: Operations Categories: Risk Management
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 feedas needed to drive continuous improvement in risk management methodologies and frameworks.
QualificationsPosition requires a Master’s degree in Finance, Statistics, Mathematics, Econometrics, Operations Research, Engineering, Computer Science, Business Administration, Information Systems, or a related field, and 2 years of experience with data analysis and data warehousing. Experience must include a minimum of: 1 year of experience with financial analysis, UAT, regression testing, segmentation, and data mining to generate insights of financial reports; 1 year of experience with data modeling, including dimensional modeling, entity relationship, and schema design; 1 year of experience with analysis of large datasets; 1 year of experience with Big Data tools and platforms; 1 year of experience with ETL tools, including Data Stage, Informatica, and User Acceptance Testing (UAT); 1 year of experience with translating complex analyses for technical and non-technical audiences; 1 year of experience working with technical, analytical, business, and non-technical teams; and 1 year of experience with Oracle, Python, SQL, Teradata, MS Access, MS Excel for data reporting and modeling, Tableau, and Unix.
JOB LOCATION: New York, NY
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Mar 13, 2019, 11:00:00 PM