Data Science Job Openings At Amex – WFH (Hybrid)

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.

Job Description and Responsibilities

• The Analyst, Data Science  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.