Analyst - Data Science

You Lead the Way. We ve Got Your Back.

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

The Finance Data Science & Analytics (FDS&A) team leverages data and new technology to innovate around the way we forecast key measures to add stability and predictability to the AXP P&L. FDS&A team s goal is to help the organization make fact-based and scientifically developed decisions around risk and opportunities. You will perform a key role in providing financial analysis and decision support for AXP Issuing Lending business.

We are looking for a high-performing, energetic colleague with a positive attitude and ability to think critically, organize flawlessly and facilitate activities in a fast-paced, dynamic, and fun environment. The ideal candidate will be flexible, able to exercise discretion and independent judgement while also having the confidence and professionalism to interact with colleagues across levels to get the job done.

Responsibilities include:

Leverage quantitative skills to provide decision support to business teams on key initiatives

Assist in developing/enhancing Lend 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 AR/ ADB and Total Interest Income

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 Risk Finance, 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 AR/ ADB, FCR and Total Interest Income, 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

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.

Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities