Manager - Data Science

American Express

New York, NY

Full Time

Mid Level

90k-165k

about 2 months ago

Job Description

About the Role

At American Express, the Manager - Data Science will be part of the Finance Data Science & Analytics team, driving strategic decisions through statistical, analytical, and machine learning approaches. The role involves working with highly talented individuals to gather, manipulate, and synthesize data related to customer behaviors, transactions, and attributes to produce actionable insights. The position offers opportunities to collaborate with leadership, understand the business deeply, and support profitable growth for the US Card Services Lending business within a diverse and inclusive company environment.

Key Responsibilities

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 techniques 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
Identify financial control gaps and opportunities for efficiencies and create enhancements

Requirements

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
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

Nice to Have

Python/R skills strongly preferred
Statistical/Predictive modeling knowledge and experience strongly preferred

Qualifications

Bachelor's / Master's degree in a quantitative field
2+ years of experience preferred

Benefits & Perks

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
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

Working at American Express

American Express fosters a diverse, inclusive, and supportive environment where colleagues are encouraged to learn, grow, and contribute to a shared goal of delivering exceptional customer experiences. The company values integrity, belonging, and collaboration, offering flexible work arrangements and comprehensive benefits to support colleagues' holistic well-being.

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