SrAnalyst Data Governance&Mgmt
American Express · Posted Oct 9
Banking, credit card, payment network, and travel services
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About the role
Credit and Fraud Risk (CFR) is a global function responsible for making effective credit and fraud risk decisions that uphold operational excellence, enable sustainable growth, and accelerate innovation across American Express, bringing together advanced technology, data, and analytical capabilities to strengthen risk decision-making. The Senior Analyst – Data Governance & Management will support the development and execution of data capabilities that support customer management risk models for the U.S. market such as CDSS and TSR, ensuring high-quality, reliable, and accessible data for model development, performance monitoring, and ongoing analytical needs. The role works at the intersection of data, analytics, and risk management and will leverage GenAI, BigQuery, and Python along with automation to simplify data access, reduce manual effort, and modernize the data ecosystem.
What you will do
- Develop, review, and maintain data capabilities supporting customer management and risk models, including datasets used for model development, execution, and ongoing performance monitoring.
- Analyze large and complex datasets to identify meaningful patterns, trends, data quality issues, and opportunities for improvement.
- Identify opportunities to automate manual processes, simplify existing workflows, and improve operational efficiency.
- Identify opportunities to optimize data capabilities and reduce unnecessary storage, processing, and maintenance costs.
- Explore innovative approaches across data, analytics, automation, and machine learning to continuously improve existing capabilities.
- Partner with cross-functional teams across risk, analytics, technology, and other business areas to improve data accessibility, quality, governance, and usability.
- Structure and clearly communicate analytical findings, recommendations, risks, and business impact to leadership and key stakeholders.
- Navigate complex and unstructured problems by asking thoughtful questions, evaluating different approaches, and translating findings into actionable solutions.
Skills used in this role
What the employer is looking for
- MBA or Master's degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field.
- 0–30 months of relevant experience in analytics, data management, data governance, or related data capabilities.
- Working knowledge of BigQuery and Python, with the ability to analyze and work with large datasets.
- Understanding of data analysis concepts and the ability to translate data into meaningful business insights.
- Ability to manage project deliverables and drive initiatives toward measurable business outcomes.
- Strong analytical and problem-solving skills, with the ability to work through complex and unstructured problems.
- Ability to work independently and take ownership of assigned deliverables while contributing effectively within a team environment.
- Strong written and verbal communication skills, with the ability to clearly communicate findings to both technical and non-technical stakeholders.
Preferred qualifications
- Hands-on experience with BigQuery, Python, SQL, or similar data and analytical technologies.
- Experience developing or supporting automated data processes and workflows.
- Exposure to data governance, data quality, metadata management, data lineage, or data lifecycle management.
- Understanding of model development, model performance monitoring, or the data requirements associated with analytical and machine learning models.
- Exposure to financial services, payments, credit risk, fraud risk, or customer analytics.
Benefits and support
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- 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
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
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