American Express Careers

Manager - Finance

New York, New York
Finance

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Job Description

The GCS Business Analytics team drives strategic decisions for the Global Commercial Services business by applying statistical, innovative, analytical approaches and machine learning techniques. The candidate will be part of a finance team made up of highly talented individuals with strong intellectual curiosity. The essence of the work involves gathering, manipulating and synthesizing data (customer behaviors, transactions, attributes, etc.), predictive modeling and analytics to drive actionable recommendations. This is an excellent opportunity for an individual to work with the leadership team, gain deeper understanding of commercial payments/credit economics and build key business relationships.
 
Responsibilities include:
  • Leverage quantitative skills to provide decision support to business teams on key initiatives
  • Develop predictive models that incorporates card member behaviors and increased level of data granularity
  • Use machine learning techniques to improve forecasts and produce business insights; leverage visualization and reporting tools
  • Understand and adopt emerging technology that can affect the application of the quantitative analytical approaches and technique to solve business problems
  • Partner across Finance, Risk and Business to derive strategic insights and evaluate profitability
  • Provide thought leadership into key findings and actionable recommendations to influence business strategy
  • Develop product profitability analytics to support investment and strategic decisions

Qualifications

Qualifications:
  • Highly motivated individual with desire to work on ambiguous projects, with the ability to break down and execute on complex ideas
  • Strong analytical, organizational, and problem solving skills with good attention to detail
  • Strong business acumen with ability to solve ad-hoc business problems independently and manage multiple priorities and projects while adhering to deadlines
  • Proficiency in SQL, SAS or other analytics software
  • Hive, Python/R skills strongly preferred
  • Statistical/Predictive modeling knowledge and experience strongly preferred
  • Strong desire and ability to learn
  • Bachelor’s or advanced degree in a quantitative field preferred
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions. 

ReqID: 18009748
Schedule (Full-Time/Part-Time): Full-time
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