At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role The Enterprise Data Strategy team, in Credit and Fraud Risk Management (CFR) is responsible for optimizing risk decisions through the lifecycle by identifying, testing and integrating internal data with external data assets. The team also manages data, strategy, and relationships with key third party data providers and contribution policy with external data partners (including credit bureaus) to support risk products in new accounts, customer management, and collection practices. The team also serves as a critical channel for the exploration of new data opportunities for the firm. The Senior Manager/Manager will be part of the Open Finance and Banking Data Strategy team. This team is dedicated to optimizing the value of existing data and to defining the roadmap for new banking and open finance data that will help uplift credit underwriting and line management, fraud and credit bust-out verifications. The Senior Manager/Manager will also play a key role supporting the strategy, impact, and opportunities of the new US 1033 Open Banking regulation to CFR inbound use-cases in collaboration with other enterprise teams. The remit of the role primarily spans across the commercial and consumer landscape in US but can support open finance and banking thought leadership in non-US markets. The candidate will lead collaboration with our strategic partners, help deepen in-house expertise on banking data assets, support new behavioral data product development in partnership with decision science teams, and enhance our data capabilities to accelerate growth and controls.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees