Manager - Data Science - job 1 of 17

You Lead the Way. We’ve Got Your Back.

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way.

When you join Team Amex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. Here, you’ll learn and grow as we champion your meaningful career journey with programs, benefits, and flexibility to back you personally and professionally. Every colleague shares in the company’s success.

Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to our customers, communities, and each other every day. And, we’ll do it with integrity and in an environment where everyone is seen, heard and feels like they truly belong.

Join #TeamAmex and let’s lead the way together.

Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it’s negotiating with some of our largest global partners or creating next year’s financial plan, you can influence both our day-to-day P&L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.

How will you make an impact in this role?

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. 

Candidate will support the analytics and forecasting for US Card Services Lending business, and work closely with broader Finance community, Business and Risk teams to drive profitable growth for the company.

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
• 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
• Ensure the flow of accurate and complete financial information by liaising between internal and external reporting and broader finance organization.
• Provide thought leadership into key findings and actionable recommendations to influence business strategy
• Perform corporate planning and financial planning and analysis that serve as the basis for key internal and external communications.
• Develop product profitability analytics to support investment and strategic decisions
• Help maintain documentation for monthly CFO management reporting, quarterly results, business events, and accounting changes. Support internal and external reporting by performing year-over-year financial analysis.

Ensure integrity of financial information for internal and external stakeholders. Identify financial control gaps and opportunities for efficiencies and create enhancements.

Minimum Qualifications

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

Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries 
• Bonus incentives 
• 6% Company Match on retirement savings plan 
• Free financial coaching and financial well-being support 
• Comprehensive medical, dental, vision, life insurance, and disability benefits 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy 
• 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.