What are the responsibilities and job description for the Manager-Risk Management position at American Express?
Job Description
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.
Responsibilities
Minimum Qualifications
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.
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
Minimum Qualifications
- 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
- 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
Salary : $89,250 - $150,250