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Manager – Data Science
American Express. Develop, document & implement models to capture Agentic risk .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing risk models, with a strong focus on credit and fraud risk management. Proven ability to lead teams, enhance modeling processes, and leverage data analytics for strategic decision-making.
Highest-signal resume keywords
Credit Risk ManagementFraud Risk ManagementPython ProgrammingModel DevelopmentTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model DevelopmentData AnalysisStatistical ModelingProgramming with PythonSQL ProficiencyData EvaluationRisk AssessmentPerformance TrackingCorrective Action ProposalGen AI Applications
Soft Skills
Thought LeadershipCollaborationProblem SolvingCommunicationMentoring
Tools & Technologies
BigQueryHive TerminalLumiCornerstoneCASAMP
Industry Keywords
Agentic RiskModel PerformanceBusiness StrategyMRMGRPDS
Tech Stack
Tools & technologiesBigQueryPySparkPythonSQL
About the role
Key responsibilities & impact- Develop, document & implement models to capture Agentic risk
- Track model performance on an ongoing basis and propose corrective actions in a timely manner
- Partner with Business Strategy, MRMG, RPDS teams to continuously enhance models
- Review cases to identify new modeling opportunities
- Evaluate internal and external data sources and new variables for efficacy in models and business strategies
- Identify gaps in modeling processes and recommend solutions to make existing solutions more robust
- Provide people and thought leadership for Band 30s
- Lead a team of risk management professionals
Requirements
What you’ll need- 3 or more years of Relevant/Related Work Experience in Credit & Fraud Risk with Demonstrated Track Record of Strong Performance
- Post Graduate Degree in Management / Statistics / Mathematics / Economics / Engineering from a reputed institute
- Proficiency in programming with Python, PySpark, SQL on BigQuery, Hive Terminal, MLS
- Knowledge of platforms systems like Lumi, Cornerstone, CAS, AMP, etc.
- Preferred - Experience in working with Gen AI applications
Benefits
Comp & perks- 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