Risk Management Manager

Description

At American Express, our commitment to innovation and shared values spans 175 years. We prioritize trust, security, and exceptional customer service, all while fostering a strong risk mindset that distinguishes us in the marketplace.

Joining Team Amex means you will receive extensive support for your well-being and numerous opportunities for skill development, leadership growth, and career advancement. We value your voice and ideas, and your contributions will have a significant impact on the future of American Express.

The Fraud Risk team at American Express is an innovative environment fostering collaboration aimed at enhancing customer experience while effectively combating fraud. Our colleagues are creative problem solvers who leverage cutting-edge tools and one of the world’s most valuable datasets to drive impactful insights and actions that benefit both our customers and business operations.

This critical and dynamic position focuses on assessing first-party and victim fraud risk through the design of effective servicing strategies aimed at enhancing customer experience and reducing enterprise risk exposure. This role requires collaboration with various enterprise partners, including Global Servicing, EDMX, Enterprise Digital, and Technology.

Responsibilities:

• Develop victim fraud and first-party fraud claims management strategies.
• Analyze structured and unstructured data, applying statistical, machine learning, or business intelligence techniques.
• Collaborate with internal credit and fraud risk teams and business partners to ideate and implement solutions and strategies.
• Utilize GenAI models to craft efficient strategies for reducing first-party fraud risk.

Minimum Qualifications:

• Strong relationship-building skills at all organizational levels.
• Experience in manipulating and extracting data from both large and small datasets; proficiency with data processing tools and languages such as SQL, SAS, and Hive.
• Ability to thrive in a fast-paced, dynamic environment while maintaining strong attention to detail and effective communication in cross-functional settings.
• Familiarity with supervised and unsupervised learning techniques preferred (e.g., GBM, GPT).
• Postgraduate degree in Economics, Statistics, Computer Science, Mathematics, Finance, Operations Research, Engineering, or related advanced quantitative fields is preferred.
• A minimum of 3 years of experience in analytics is preferred.

Salary Range: $89,250.00 to $150,250.00 annually, plus bonuses and benefits. This range reflects the expected salary for this role, considering factors such as location and experience.

We are committed to supporting your holistic well-being, offering benefits that help you thrive both personally and professionally.

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plans
• Free financial coaching and well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements based on role and business needs
• 20 weeks of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy
• Free access to on-site wellness centers with medical staff (based on location)
• Confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is proud to be an equal opportunity employer, and we make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

We offer a flexible working model through Amex Flex to ensure our unique in-person culture is maintained while offering our colleagues the flexibility they need.

Employment eligibility to work with American Express in the U.S. is required. The company will not sponsor visa applications for these positions.

Job: Credit

Primary Location: US-Arizona-Phoenix

Schedule: Full-time

Req ID: 26005493