Data Analyst - Issues & Event Management

American Express•Sandy, UT

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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

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
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