Senior Analyst – Risk Management

American Express

. Support the development and execution of AI initiatives that enhance risk decisioning, operational efficiency, and customer experience across the enterprise .

Posted 10/21/2026full-timeNew York City • New York • United StatesSenior💰 $78,000 - $124,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics, data science, and machine learning to drive AI initiatives that enhance operational efficiency and customer experience. Proficient in developing data visualizations and reporting frameworks while effectively communicating insights to stakeholders.

Highest-signal resume keywords

Advanced Degree In Computer Science3+ Years Of Experience In AnalyticsProficiency In Python And SQLExperience With Cloud PlatformsStrong Project Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningPredictive ModelingData VisualizationAnalytical SkillsProcess AutomationAI TechnologiesStatistical AnalysisBig Data TechnologiesRisk Management

Soft Skills

Excellent Communication SkillsProblem-Solving SkillsStakeholder ManagementCross-Functional CollaborationAbility To Manage Multiple Priorities

Tools & Technologies

TableauPower BIAWSAzureGoogle CloudCloud-Based Analytics PlatformsAdvanced Analytics ApplicationsExecutive-Level Reporting ToolsML Development EnvironmentsGenerative AI Technologies

Industry Keywords

Credit CardRiskFraudFinancial ServicesAI InitiativesOperational EfficiencyCustomer ExperienceData Use CasesBusiness AnalyticsQuantitative Field

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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
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
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
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship

Benefits

Comp & perks

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