Manager - Data Science

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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.

The Finance Data Science & Analytics (FDS&A) 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. 

This role will support the analytics and forecasting for AXP Global Billed Business volume across various American Express Global Issuing and Merchant business. Cross functional collaboration with LFO teams supporting our Issuer and Global Merchant business units; as well as with our BU FP&A teams and Enterprise FP&A teams in CP&A, will be a key part of this role.

The candidate will be afforded the opportunity to not only observe, but also influence, how strategic decisions are made at senior levels of American Express, and provide recommendations on areas of improvement, while also leading ad-hoc, strategic initiatives related to Billed 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 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
• Lead Planning activities including Risks & Opportunities (R&O), Long-Range Plan (LRP) and Annual Plan as it relates to AXP Billed Business and GMS Discount Billed Volume
• 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
• Lead multiple volumes-related initiatives concurrently while adhering to deadlines
• Assist in developing/enhancing/automating 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
• Provide thought leadership into key findings and actionable recommendations to influence business strategy
• Understand and adopt emerging technology that can affect the application of the quantitative analytical approaches and technique to solve business problems
• Perform financial planning and analysis that serve as the basis for key internal and external communications.
• Ensure the flow of accurate and complete financial information by liaising between internal and external reporting and broader finance organization.
• Support forecast model risk management process by working with risk team on model monitoring, interpretability, and parameter tuning.
  
  

Minimum Qualifications:

• Solid understanding of card economics
• Highly motivated individual with desire to work on ambiguous projects; With the ability to break down and execute on complex ideas
• Ability to solve ad hoc business problems independently and manage multiple priorities and projects while adhering to deadlines
• Master’s degree in a quantitative field
• Proficiency in SQL, Hive, Python, Pyspark, Machine Learning Techniques

Preferred Qualifications:

• 5+ years of experience preferred
• Python/R skills strongly preferred
• Statistical/Predictive modeling knowledge and experience strongly preferred
• Experience with data visualization tools preferred
• Strong analytical, organizational, and problem-solving skills with good attention to detail

·Bachelors/Masters or PhD in a quantitative field - Applied Mathematics, Physics, Engineering, Computer Science, Economics

• Strong desire and ability to learn

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.
  Shift Timings: 

  Mon to Thurs ( 1 to 9.30 pm)
  Friday (9 am to 5 pm)

  
  

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 
• 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)