Senior Analyst-Risk Management
About The Position
The Senior Analyst will join the Data Strategy & Analytics team within Credit and Fraud Risk Management (CFR), supporting American Express in using AI, advanced analytics, and data-driven insights to address complex business challenges and transform risk management and data capabilities. The Enterprise Data Strategy team optimizes risk decisions across the lifecycle by identifying, testing, and integrating internal and external data assets, and accelerates the adoption of AI and advanced analytics. The role works with Risk, Technology, Product, Data Science, Compliance, and Enterprise AI teams to identify, prioritize, develop, and scale AI-powered solutions that deliver business value while supporting responsible AI governance. The Analyst/Senior Analyst supports AI initiatives that improve risk decisioning, operational efficiency, and customer experience. The position involves analyzing complex datasets, developing measurement and reporting frameworks, supporting the deployment and monitoring of AI and machine-learning solutions, and communicating findings and recommendations to business leaders. The role operates in a dynamic, cross-functional, global environment and manages multiple initiatives and priorities.
Requirements
- Advanced degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, Business Analytics, artificial intelligence, or another quantitative field.
- At least 3 years of experience in analytics, data science, machine learning, strategy, risk management, or a related discipline.
- Excellent written and verbal communication skills, including the ability to explain complex technical concepts to 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, with experience working with structured and unstructured data.
- Proficiency in Python and SQL, and 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 and passion for emerging AI technologies and their practical business applications.
Responsibilities
- Support development and execution of AI initiatives to enhance enterprise risk decisioning, operational efficiency, and customer experience.
- 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.
- Develop dashboards, metrics, and reporting frameworks to measure initiative performance, business impact, adoption, and operational effectiveness.
- Collaborate with Decision Science, Technology, Product Owners, and Enterprise AI teams to support deployment and monitoring of machine-learning and AI solutions.
- Evaluate emerging AI technologies, tools, and external partnerships for opportunities to strengthen business capabilities and innovation.
- Identify process automation opportunities using AI, predictive analytics, and intelligent workflow solutions.
- Communicate analytical findings and strategic recommendations to business leaders through presentations and executive-ready documentation.
- Manage multiple initiatives and priorities in a dynamic, cross-functional, and global environment.
Benefits
- Competitive base salaries
- Bonus incentives
- 6% company match on retirement savings plan
- Free financial coaching and financial well-being support
- Medical, dental, vision, life insurance, and disability benefits
- Flexible working model, with hybrid, onsite, or virtual arrangements depending on role and business need
- More than 20 weeks of paid parental leave for all parents, including for pregnancy, adoption, or surrogacy
- Access to global onsite wellness centers staffed with nurses and doctors, depending on location
- Free and confidential counseling through the Healthy Minds program
- Career development and training opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
