Senior Managers, Risk Management

American Express • New York, NY

9d • Hybrid

About The Position

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
American Express Company seeks Senior Managers, Risk Management to design and execute business strategies and risk management solutions, leveraging bureau commercial or consumer data. Drive the analysis of and analyze structured and unstructured data and translate data using statistical, financial, machine learning, or business intelligence techniques. Partner with technology and other groups on integration and implementation of risk management policies and business strategies. Identify and evaluate new data sources (regulated and non-regulated) that could add incremental profitability to American Express’s products/services. Promote the usage of industry and internal best practices and incorporate regulatory feedback as needed to drive continuous improvement in risk management methodologies and documentation.

Requirements

• Bachelor’s degree in Finance, Statistics, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, Computer Science, or a related field
• 3 years of experience with risk analysis and data analysis
• 1 year of experience with risk management
• 1 year of experience with transforming large amounts of unstructured data
• 1 year of experience with analysis of large datasets
• 1 year of experience with fraud risk management, including identifying fraud rings and assessing identity theft fraud issues
• 1 year of experience with quantitative and qualitative data analysis
• 1 year of experience with translating complex analyses for technical and non-technical audiences
• 1 year of experience with working with technical, analytical, business, and non-technical teams
• 1 year of experience with process improvement and automation, leveraging optimization algorithms and models, and driving transformational projects
• 1 year of experience with database structures and data manipulation languages, including SQL and SAS
• 1 year of experience with decision engines
• 1 year of experience with MS Excel and statistical software using SAS for data reporting and statistical analysis

Responsibilities

• design and execute business strategies and risk management solutions, leveraging bureau commercial or consumer data
• Drive the analysis of and analyze structured and unstructured data and translate data using statistical, financial, machine learning, or business intelligence techniques
• Partner with technology and other groups on integration and implementation of risk management policies and business strategies
• Identify and evaluate new data sources (regulated and non-regulated) that could add incremental profitability to American Express’s products/services
• Promote the usage of industry and internal best practices and incorporate regulatory feedback as needed to drive continuous improvement in risk management methodologies and documentation.

Benefits

• Competitive base salaries
• Bonus incentives
• 6%25 Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees