American Express · 9 hours ago
Manager-Data Science
American Express is a company with a long history of innovation and commitment to its stakeholders. The Manager of Data Science will oversee model risk management, focusing on AI and ML models, while driving business outcomes and ensuring compliance with regulatory standards.
Credit CardsFinanceFinancial ServicesPaymentsTravel
Responsibilities
Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types
Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact
Communicating results to partners, senior leadership and various model committees
Drive billing, revenue growth and profitability through advanced analytical techniques
Maximize business returns by institutionalizing efficient and accurate models
Innovate modeling techniques and variable creation
Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning
Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders
Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
Demonstrate learning agility, make decisions quickly and with the highest level of integrity
Lead with a digital mindset and deliver the world’s best customer experiences every day
Qualification
Required
Bachelor's required In Economics, Statistics Or Related Fields
Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have
Hands-on model development or validation experience
Strong Analytical and Relationship and project management skills for driving validation initiatives
Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment
Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution
Effectively communicating complex Analytical results to Business Partners and Senior Management
Flexibility and Adaptability to Work Within tight deadlines and changing priorities
Preferred
Master's degree preferred
Preferred 4+ years experience in analytics or big data workstreams
Experience with NLP / NLU model and chatbot frameworks would be preferred
Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred
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 financial services company that provides credit cards, charge cards, payment solutions, and related services.
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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (137)
2024 (95)
2023 (95)
2022 (131)
2021 (111)
2020 (114)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Recent News
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2026-01-01
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2025-12-29
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