47 applicants
American Express · 3 days ago
Manager - Data Science
New York, NY
Full-time
Hybrid
Entry, Mid Level
$90K/yr - $165K/yr
2+ years exp
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Responsibilities
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 USCS 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 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
Qualification
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Required
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 Python, SQL and Hive
Preferred
2+ 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
Strong desire and ability to learn
Benefits
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
Company
American Express
American Express is a global financial services company best known for its credit card, charge card, and traveler’s cheque businesses.
10,001+ employees
H1B Sponsorship
American Express has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (77)
2022 (121)
2021 (120)
2020 (103)
Funding
Current Stage
Public CompanyTotal Funding
unknown2014-03-17IPO· bcba:AXP
Leadership Team
Brett Mooney
President & CEO of Amex Bank of Canada and Amex Canada
Manoj Adlakha
SVP & Country Manager India Business and CEO, AEBC India
Recent News
Daring Fireball
2024-06-06
2024-06-05
Company data provided by crunchbase
