Senior Analyst-Risk Management

American Express • New York, NY

1d

About The Position

The Enterprise Data Strategy team within Credit and Fraud Risk Management (CFR) optimizes risk decisions throughout their lifecycle by identifying, testing, and integrating internal and external data assets. The team also accelerates the adoption of artificial intelligence and advanced analytics to support smarter business decisions, operational excellence, and innovation. It works closely with Risk, Technology, Product, Data Science, Compliance, and Enterprise AI teams to identify, prioritize, develop, and scale AI-powered solutions that deliver measurable business value while ensuring responsible AI governance.

The Analyst/Senior Analyst will join the Data Strategy & Analytics team, helping American Express apply AI, advanced analytics, and data-driven insights to complex business challenges and the transformation of risk management and data capabilities. The role supports AI initiatives, develops analytical insights and performance reporting, collaborates on the deployment and monitoring of machine-learning and AI solutions, and communicates recommendations to business leaders.

Requirements

• Advanced degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, Business Analytics, artificial intelligence, or a quantitative field.
• 3+ years of experience in analytics, data science, machine learning, strategy, risk management, or related disciplines.
• Excellent written and verbal communication skills, including the ability to simplify complex technical concepts for business audiences.
• Familiarity with machine learning techniques, predictive modeling, and Generative AI technologies, including large language models and prompt engineering concepts.
• Strong project management and stakeholder management skills, with the ability to influence cross-functional teams.
• Experience developing data visualizations and executive-level reporting using Tableau, Power BI, or similar platforms.
• Strong analytical and problem-solving skills and experience working with structured and unstructured data.
• Proficiency in Python and SQL, with experience using cloud-based analytics platforms and big data technologies.
• Ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
• Eligibility to work in the United States; American Express will not pursue visa sponsorship for these positions.

Nice To Haves

• Experience with cloud platforms such as AWS, Azure, or Google Cloud and modern AI/ML development environments.
• Knowledge of the Credit Card, Risk, Fraud, or Financial Services industries.
• Curiosity about and passion for emerging AI technologies and their practical business applications.

Responsibilities

• Support the development and execution of AI initiatives that enhance risk decisioning, operational efficiency, and customer experience across the enterprise.
• Partner with business stakeholders to identify high-value data use cases, define success metrics, and translate business needs into analytical solutions.
• Analyze large, complex datasets to generate actionable insights and identify opportunities using AI and advanced analytics applications.
• Develop dashboards, metrics, and reporting frameworks to measure data initiative performance, business impact, adoption, and operational effectiveness.
• Collaborate with Decision Science, Technology, Product Owners, and Enterprise AI teams to support the deployment and monitoring of ML and AI solutions.
• Evaluate emerging AI technologies, tools, and external partnerships to identify opportunities that strengthen business capabilities and innovation.
• Identify opportunities for process automation using AI, predictive analytics, and intelligent workflow solutions.
• Communicate analytical findings and strategic recommendations to business leaders through clear presentations and executive-ready documentation.
• Work effectively in a dynamic, cross-functional, and global environment while managing multiple initiatives and priorities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior