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Added 52 mins ago
Associate Configuration Analyst/Configuration Analyst
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American Express

Senior Analyst-Risk Management

New York, NY, United States

$78,000 to $124,750 USD / year

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Job details

Pay: $78,000 to $124,750 USD / year
Experience: 3+ years of experience in analytics, data science, machine learning, strategy, risk management, or related disciplines.
Posting language: English
Posted: Oct 22, 2026

Original job description

Senior Analyst-Risk Management

New York, NY, United States(Hybrid)

Job Description

The Enterprise Data Strategy team, in Credit and Fraud Risk Management (CFR) is responsible for optimizing risk decisions through the lifecycle by identifying, testing and integrating internal data with external data assets. The team also responsible for accelerating the adoption of Artificial Intelligence and advanced analytics to drive smarter business decisions, operational excellence, and innovation across the Enterprise Data Strategy team. The team partners closely with Risk, Technology, Product, Data Science, Compliance, and Enterprise AI teams to identify, prioritize, develop, and scale AI-powered solutions that deliver measurable business value while ensuring responsible AI governance.

The Analyst/Senior Analyst will be part of the Data Strategy & Analytics team dedicated to helping American Express leverage AI, advanced analytics, and data-driven insights to solve complex business challenges and transform risk management and data capabilities.

Responsibilities

Responsibilities include:

Support the development and execution of AI initiatives that enhance risk decisioning, operational efficiency, and customer experience across the enterprise.
Partner with business stakeholders to identify high-value data use cases, define success metrics, and translate business needs into analytical solutions.
Analyze large, complex datasets to generate actionable insights and identify opportunities using AI and advanced analytics applications.
Develop dashboards, metrics, and reporting frameworks to measure data initiative performance, business impact, adoption, and operational effectiveness.
Collaborate with Decision Science, Technology, Product Owners, and Enterprise AI teams to support the deployment and monitoring of ML and AI solutions.
Evaluate emerging AI technologies, tools, and external partnerships to identify opportunities that strengthen business capabilities and innovation.
Drive continuous improvement by identifying process automation opportunities using AI, predictive analytics, and intelligent workflow solutions.
Communicate analytical findings and strategic recommendations to business leaders through clear presentations and executive-ready documentation.
Work effectively in a dynamic, cross-functional, and global environment while managing multiple initiatives and priorities.

Qualifications

Minimum Qualifications

Advanced degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, Business Analytics, artificial intelligence, or a quantitative field.
3+ years of experience in analytics, data science, machine learning, strategy, risk management, or related disciplines.
Excellent written and verbal communication skills with the ability to simplify complex technical concepts for business audiences (must have).
Familiarity with machine learning techniques, predictive modeling, and Generative AI technologies, including large language models and prompt engineering concepts.
Strong project management and stakeholder management skills with the ability to influence cross-functional teams (must have).
Experience developing data visualizations and executive-level reporting using tools such as Tableau, Power BI, or similar platforms.
Strong analytical and problem-solving skills with experience working with structured and unstructured data.
Proficiency in Python and SQL, with experience using cloud-based analytics platforms and big data technologies.
Ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or Google Cloud and modern AI/ML development environments.
Knowledge of Credit Card, Risk, Fraud, or Financial Services industries is preferred.
Demonstrated curiosity and passion for emerging AI technologies and their practical business applications.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of innovation, shared values (https://www.americanexpress.com/en-us/company/who-we-are/) and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our 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.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
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

For a full list of Team Amex benefits, visit our Colleague Benefits Site (https://www.americanexpress.com/en-us/colleagues/benefits) .

American Express is an equal opportunity employer and makes employment 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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

Job Info

Job Identification 26015374
Job Category Risk
Posting Date 10/21/2026, 01:06 PM
Apply Before 11/04/2026, 05:00 AM
Degree Level Bachelor's Degree
Job Schedule Full time
Job Shift Day
Locations AMEX World Financial Center, New York, NY, 10285, US(Hybrid)
Salary Range $78000 - $124750 annually + bonus + benefits
Career Area Analytics & Risk Management

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