Job Description The Analyst, Data Science (30313) role sits within the Model Risk Management Group (MRMG) under the Global Risk and Compliance organization. The role supports the independent risk management and governance of Generative AI and advanced Machine Learning models across American Express. This 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. 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. Responsibilities GenAI Model Risk Assessment & Oversight 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. Frameworks, Research & Continuous Learning 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. Stakeholder Collaboration & Communication 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. Enterprise Contribution 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. Critical Factors to Success Business & Enterprise Outcomes 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. Enterprise Leadership Behaviors Set the Agenda Demonstrate enterprise thinking and connect work outputs to broader risk and business priorities. Bring Others With You Collaborate effectively, seek feedback, and actively contribute as part of high‑performing teams. Do It the Right Way Communicate clearly and candidly, demonstrate integrity in analysis, and uphold American Express values. Show learning agility, curiosity, and willingness to challenge assumptions responsibly. Qualifications Education MBA or Master’s Degree in Statistics, Economics, Data Science, AI/ML, Generative AI or related quantitative fields from a top‑tier institute. Experience 0–2 years of experience in analytics, data science, model development, validation, or big‑data workstreams. Exposure to AI/ML model development, testing, or validation through professional experience, projects, or internships preferred. Interest in or early exposure to Generative AI or LLM‑based systems is a strong plus. Technical Skills Foundational understanding of AI/ML concepts, with interest in Generative AI technologies. Hands‑on experience with at least one of Python, PySpark, R, or SQL. Ability to work with data, perform analytical checks, and support model evaluation activities. Core Capabilities Strong analytical, problem‑solving, and structured‑thinking skills. Clear written and verbal communication, with ability to explain analytical results to diverse audiences. Ability to manage multiple tasks, adapt to changing priorities, and meet tight timelines.

About American Express

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.