Manager-Data Science

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Description:

The Finance Data Science & Analytics team drives strategic decisions for the business by applying statistical, innovative, analytical approaches and machine learning techniques. The candidate will be part of a quantitative 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 AXP business and build key business relationships. 

Responsibilities Include:

• Leverage quantitative skills to provide decision support to business teams on key initiatives
• Assist in developing/enhancing spend metric predictive modeling 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 and maintain various billings reports within the Finance organization
• Develop product profitability analytics to support investment and strategic decisions
• Work with various teams to improve data quality and ensure monitoring to avoid any operational risk event

Minimum Qualifications:

• Bachelor’s / Master’s degree in a quantitative field
• 2-3 years of experience preferred
• Proficiency in Python, SQL or Hive

• Big data skills (PySpark) strongly preferred

   

• Power BI or other visualization tools experience strongly preferred
• Statistical/Predictive modeling knowledge and experience strongly preferred
• 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
• Ability to solve ad hoc business problems independently and manage multiple priorities and projects while adhering to deadlines
• Strong desire and ability to learn