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

·        Planning activities responsibilities including Risks & Opportunities (R&O), Long-Range Plan (LRP) and Annual Plan as it relates to AXP Billed Business and GMS Discount Billed Volume

·        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

·        Provide thought leadership into key findings and actionable recommendations to influence business strategy

·        Deepen trust-based relationships with a variety of stakeholders and levels across the Enterprise, including, but not limited to EFP&A, BU FP&A, LFO teams and business partners

·        Leverage quantitative skills to provide decision support to business teams on Enterprise-wide forecasting for Billed Business, including, but not limited to, model ownership and results analyses

·        Propose and implement solutions to ad-hoc business problems independently, leveraging data and insights to play the role of strategic advisors

Minimum Qualifications:

• Bachelor’s / Master’s degree in a quantitative field
• 3-4 years of relevant experience is required

·        Proficiency in SQL, Hive, Python, Pyspark, Machine Learning Techniques

• 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

Preferred Qualifications:

• Solid understanding of card economics
• Python/R skills strongly preferred 
• Power BI or other visualization tools experience strongly preferred
• Statistical/Predictive modeling knowledge and experience strongly preferred

Skills:

Highly motivated individual with desire to work on ambiguous projects, with the ability to break down and execute on complex ideas.

Be data-driven, outcome-focused and fast learner.

Strong analytical, organizational, and problem-solving skills with good attention to detail

Ability to influence people across all levels of the organization.

Ability to explain complex mathematical concepts.

Ability to solve ad-hoc business problems independently and manage multiple priorities and projects while adhering to deadlines.