Mgr-Data Science

American Express • New York, NY

7d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

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