Manager-Risk Management

American Express • New York, NY

2d • $89,250 - $150,250

About The Position

The Compromise Fraud Strategy team is looking for a high-performing Manager to drive innovation in Compromise fraud risk area. The candidate will be responsible for identifying innovative and actionable insights on compromise detection solutions that would have a meaningful impact on our customers and our business. It will also include deploying strategies that will have a direct impact on fraud loss savings. The candidate will collaborate closely with internal and external partners to drive innovation in this exciting space.

Requirements

• Undergraduate / master’s degree in science, Technology, Engineering, Mathematics, or Computer Science
• Experience with data processing tools such as R, SQL, or Python
• Understanding of statistical techniques related to data analysis and correlation
• Ability to manage multiple requests and changing priorities and to work in a fast-paced dynamic environment
• Proven track record of working proactively and independently to solve problems and drive results
• Strong presentation skills to convey data and fraud insights to different stakeholders
• Ability to build collaborative, trusting relationships
• Strong project management and communication skills to work effectively in a team environment
• Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Nice To Haves

• Knowledge of machine learning algorithms
• Working knowledge of fraud landscape and emerging fraud trends in the card space
• Understanding of payment products, emerging technologies and competitive landscape

Responsibilities

• Develop new fraud prevention control strategies using compromise intelligence.
• Minimize unprofitable fraud related disruptions, with specific focus on fraud strategy controls.
• Conceptualize and implement new data features which would help in reducing approved fraud.
• Address emerging fraud trends and monitor key metrics to take corrective actions.
• Provide thought leadership to find new ways of detection compromise.
• Integration of new data sources to improve compromise detection methods.
• Partner with Product, Technology, Servicing and Information Security teams.
• Lead data science research for compromise data attributes

What This Job Offers

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