The Finance Organization drives business value by being a strategic partner in every decision made in support of the Company’s success. We bring a powerful combination of financial expertise, a deep understanding of complex analytics, a thorough knowledge of the risk environment, and a commitment to upholding the highest standards of financial integrity.
This role sits within Finance Data Science and Analytics, a team focused on developing innovative solutions that bring greater stability, predictability, and insight to the AXP P&L through data science, machine learning, and advanced analytics.
- Lead the design, planning, and execution of machine learning projects, ensuring alignment with the company’s strategic goals and objectives.
- Innovate with a focus on developing newer and better revenue models using big data and machine learning solutions.
- Design, develop, and deploy machine learning models to predict spending and lending patterns, delivering value to finance colleagues and business partners.
- Leverage causal inference framework to determine drivers and their contribution in revenue growth
- Utilize advanced data analysis and visualization techniques to explain model outputs and extract insights that support decision-making processes.
- Collaborate with key stakeholders, including senior management, partners, and the model validation group, to drive the success of machine learning projects.
- Ensure that all regulatory needs are met by way of close collaboration with 2nd Line (MRMG) and 3rd Line (IAG) requirements, in addition to continued compliance with AEMP55
Minimum Qualifications:
- Minimum of 3+ years of experience in data science or machine learning, with a focus on developing and deploying machine learning models.
- MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Chemistry, Operations Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
- Expertise in an analytical language (Python preferred), and experience with databases (Google BigQuery or equivalent) is required.
- Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
- Ability to work effectively in a team environment.
- Independent thinker who is organized, has great attention to detail, and can effectively handle complexity.
- Strong communication skills; ability to integrate with cross-functional business partners.
- Ability to learn quickly and work independently with sophisticated, unstructured initiatives.
Preferred Qualifications:
- Experience with data visualization is a plus.
- Solid understanding of card and lending economics
- Proficiency in dealing with large quantities of complex data and ability to derive actionable insights
- Demonstrated ability to communicate technical concepts to non-technical audiences, bridging the gap between academic outputs and real-world applications
- Ability to research and apply new/unfamiliar data science methods
- Experience with Generative AI (APIs, MCP, agents)
- Experience using Git and GitHub
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions