
Analyst - Data Science
Develop and maintain econometric models used to forecast Billed Business and Loans for US portfolios and key international markets. Analyze portfolio/market trends and identify key drivers of forecasted performance. Enhance and redevelop models, as required, including data selection, validation, ongoing monitoring and governance, as well as the transition of modeling data to Cornerstone platform. Update model documentation submitted to internal validation teams and external regulators. Support various stress testing exercises across AXP, including Bank Holding. Company and local market Internal Capital Adequacy Assessment Process (ICAAP) and American Express National Bank (AENB) Macroeconomic Stress Testing. Support the company’s ‘Winning through the Cycle’ strategy by providing analytics on the impact of macroeconomic stress on the company’s volumes, in partnership with colleagues across the organization.
Strong understanding of statistical/predictive models, data extraction and analytical techniques
Experience using statistical software and manipulating large data sets for development of statistical/predictive models
Experience building models using machine learning algorithms including Regression, Gradient Boosting, or other techniques.
Ability to break down complex ideas into understandable and actionable messages
Sql
Python
Regression analysis
Time Management Skills
Statistical/predictive modeling
Gradient Boosting
Data extraction and analytical techniques
Prioritizing skills
Problem Solving Skills
Flexible to adapt in situation
Detail oriented and highly organized
Verbal and Written Communication
Multi tasker
Driven for excellence
According to JobzMall, the average salary range for a Analyst - Data Science in 175 Greenwich St, New York, NY 10007, USA is $80,000 to $150,000 per year.
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American Express Co. operates as a global services company, which engages in the provision of credit card, financial, and global travel services. It operates through the following business segments: U.S. Card Services, International Card Services, Global Commercial Services, Global Network & Merchant Services, and Corporate.

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