Analyst-Data Science
American Express · Posted Sep 30
Banking, credit card, payment network, and travel services
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About the role
The Analyst, Data Science role sits within the Model Risk Management Group (MRMG) under the Global Risk and Compliance organization, supporting independent risk management and governance of Generative AI and advanced Machine Learning models across American Express. The role focuses on the assessment and monitoring of LLMs, GenAI applications, and ML‑based models used in areas such as marketing, credit, fraud, customer engagement, operations, and risk decisioning. The analyst will contribute to strengthening enterprise model risk controls, elevating model excellence, and supporting compliance with evolving regulatory and governance expectations for AI systems.
What you will do
- Support independent oversight and effective challenge of Generative AI, LLM‑based, and advanced ML models across the enterprise.
- Participate in risk based GenAI model risk reviews, including assessment of:
- Model objectives, design, and architecture
- Training data, prompt design, and assumptions
- Model performance, monitoring approaches, and control mechanisms
- Risks related to bias, explainability, robustness, and misuse
- Execute model risk testing, documentation reviews, and evidence assessment in line with MRMG standards.
- Contribute to gap assessments against internal policies and external regulatory expectations for AI/ML models.
- Conduct AI/ML and GenAI research to support MRMG guidance, standards, and validation approaches.
- Stay current on emerging trends in Generative AI, AI risk management, and regulatory developments, and apply learnings to day‑to‑day work.
- Prepare clear, well‑structured analysis, validation notes, and risk summaries for internal stakeholders.
- Communicate analytical findings effectively to business partners, model committees, and senior leaders, with guidance from managers.
- Collaborate with cross‑functional teams including data science, engineering, product, and risk partners to support validation execution.
- Support consistent, scalable, and defensible GenAI risk management practices across the enterprise.
- Help improve efficiency and quality of MRMG processes through strong analytical execution and documentation discipline.
- Contribute to improved model accuracy, robustness, and governance for GenAI and ML models.
- Support enterprise objectives by enabling responsible AI deployment through strong risk discipline.
- Continuously improve technical and domain expertise to enhance business impact.
Skills used in this role
What the employer is looking for
- The role requires strong analytical skills, curiosity in AI/ML technologies, and the ability to translate technical findings into clear, risk‑focused insights for stakeholders.
Benefits and support
- Compensation and benefits are detailed in the job posting
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
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