Data Analyst - Issues & Event Management

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. 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 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.

Global Commercial Services (GCS) is the global leader in payment solutions for Small, Medium (SME) and Global and Large (G&L) enterprises. The GCS team enables businesses globally to pay for and finance what they need to grow their businesses through a suite of payment and lending products, solutions for travel and everyday business spending, cross border payments, global currency solutions, and business financing.

The objective of the GCS Control Management Issues, Events & Remediation team is to ensure timely identification, response, and resolution of risk events and issues to minimize impact, as well as to prevent recurrence through effective remediation and lesson learning.

The Data Analyst, GCS Issues, & Events will:

• Collect, clean, and analyze large datasets from core systems to identify risk exposures and compliance gaps
• Translate analytical findings into clear, actionable insights for partners and leaders across varying levels of seniority and communication channels
• Develop analytical reporting frameworks and dashboards that monitor operational risk, Issues, Operational Risk Events, and regulatory requirements, while surfacing trends, outliers, and emerging themes
• Support regulatory reporting requirements (e.g., Basel III, CCAR, AML, KYC, GDPR) by ensuring accuracy, transparency, and timeliness of data submissions
• Partner with business, compliance, and audit teams to analyze Issue and Operational Risk Event activity, trends, root causes, and thematic patterns
• Deliver insights and recommendations to senior leadership to strengthen risk controls and improve compliance posture
• Work with data engineering teams to improve data governance, lineage, and quality standards across risk and compliance reporting systems
• Maintain reconciliations between system of record (SOR) and downstream BI tools (Tableau, Power BI), flagging discrepancies in status, ownership, and milestone completion
• Proficient in utilization of generative AI and large language and learning models (LLM) with the ability to apply it to the Issue Management framework

Required Qualifications:

• 2–4 years of experience as a Data Analyst within banking, financial services, or regulatory environments
• Strong knowledge of operational risk, issue management, event management, or control frameworks in a regulated environment
• Proven experience with SQL and data management in regulated environments
• Expert in reporting and visualization tools (e.g., Tableau, Power BI, Qlik) with a focus on compliance dashboards
• Proficiency with statistical and analytical tools (Python, Anaconda, R, SAS) for modeling and risk analysis
• Strong understanding of banking regulations and compliance frameworks (e.g., Basel III, CCAR, AML, GDPR)
• Excellent communication skills with the ability to translate technical risk analysis into actionable business insights

Preferred Qualifications:

• Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Data Science, or a related field. Master’s preferred
• Familiarity with Issue Management Policy frameworks (e.g., definitions of Issue vs. Event, Corrective Action Plan requirements, Impact Rating scales)
• Exposure to regulatory technology (RegTech) tools and data governance platforms
• Knowledge of stress testing methodologies and predictive risk modeling
• Experience with cloud-based data environments (e.g., Snowflake, AWS, GCP, Azure, Cornerstone, Lumi)
• Experience with Archer GRC or similar issue/event management systems (IRM, OpenPages, MetricStream) — ability to query and interpret system-of-record data
• Ability and understanding on how to develop and implement generative AI & LLM tools

Salary Range: $78,000.00 to $124,750.00 annually + bonus + benefits

The above 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.

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

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.

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, but not limited to, 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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