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Synchrony

AVP, Credit Model Development

Synchrony

AVP Credit Model Development managing model lifecycles for consumer lending at Synchrony. Lead model monitoring, documentation, and collaboration within cross-functional teams.

Posted 7/17/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing the lifecycle of Credit and Fraud models, utilizing Python, Pyspark, SAS/SQL, and AWS for model development and monitoring. Proven ability to lead teams and collaborate with cross-functional stakeholders to support key business initiatives.

Highest-signal resume keywords
Model Lifecycle ManagementCredit and Fraud Model DevelopmentPython ProgrammingAWS Machine LearningTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Model MonitoringAnalytical SupportQuantitative AnalysisConsumer Lending AnalysisSAS/SQLPysparkData ReportingStatistical AnalysisRisk AnalysisMathematics
Soft Skills
Strong Communication SkillsCollaborationLeadership
Tools & Technologies
TableauAWS
Industry Keywords
Risk ManagementFinanceEconomicsStatisticsEngineering

Tech Stack

Tools & technologies
AWSPySparkPythonSQLTableau

About the role

Key responsibilities & impact
  • Manage models through their lifecycle from initiation to retirement
  • Develop acquisition & account management Credit and Fraud model development
  • Lead the Model Monitoring efforts and work closely with stakeholders
  • Collaborate with cross-functional teams globally
  • Provide analytic support on key business initiatives
  • Operate as a doer-leader and manage a team

Requirements

What you’ll need
  • Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering)
  • Minimum 5+ years' experience in an analytical/quantitative role related to consumer lending
  • Experience in Python, Pyspark, SAS/SQL and reporting tools like Tableau
  • Experience using AWS across the ML lifecycle
  • Strong written/oral communication skills
  • Experience leading small teams.

Benefits

Comp & perks
  • Enhanced Flexibility
  • Work from home or workspaces in Regional Engagement Hubs
  • Opportunities for professional development