Apache Hive, Apache Pig, Automation, Big Data Technology, Data Analysis, Data management, Data Modeling, Data structuring, Data Visualization, ETL frameworks, Linear regression, Logistic Regression, Machine learning techniques, Mathematics, Microsoft-Excel, Oracle, Predictive analytics, Python Programming, R Programming, Risk Analytics, SAS, SPSS Statistics, SQL, Statistics, Tableau, Teradata, VBA
Work Location Options: Virtual
American Express Travel Related Services Company, Inc. seeks Senior Managers, Data Science 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, Actuarial Science, or a related field, and 2 years of experience with risk analysis and data analysis to drive business strategy.
Experience must include 1 year of experience with each of the following: translating complex analyses for technical and non-technical audiences; working with technical, analytical, business, and non-technical teams; process improvement and automation, leveraging optimization algorithms and models, and driving transformational projects; SQL query development including performance tuning, stored procedure development, and complex query development; database structures and data manipulation languages, including SQL and SAS; structuring and processing qualitative and quantitative data to draw conclusions; requirements gathering, forecasting, and automation; and Cognos, ETL tools including SSIS, Python, R, Tableau, Teradata, MS Excel for data reporting and modeling, Oracle, and VBA. Telecommuting is available from anywhere in the U.S.
Job Location: New York, NY
Salary Range: $108,306.00 to $165,000.00 annually
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
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