Senior Financial Analyst, Financial Data Science & Analytics

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With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

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.

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.

The Finance Decision Science (FDS) 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 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 the US Consumer and Global Merchant Spend business.

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 USCS 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
• 1-2 years of relevant experience
• Exposure to SQL or Hive
• 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

Qualifications

Salary Range: $55,000.00 to $105,000.00 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 our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• 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.

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.

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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