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Assistant Vice President
EXLAssistant Vice President leading credit risk analytics for EXLService.com’s consumer lending portfolios. Developing risk models, BI dashboards, and lending policies while managing analytical initiatives and teams.
Posted 9/3/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $170,000 - $190,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in credit risk analytics, including advanced analytics, machine learning techniques, and BI tools. Proven ability to lead teams, manage projects, and present insights to senior stakeholders while ensuring compliance with regulatory standards.
Highest-signal resume keywords
Credit Risk AnalyticsMachine Learning TechniquesPower BISASSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Risk Prediction ModelsStatistical ModelingA/B Testing FrameworksPortfolio AnalyticsData Infrastructure ManagementRegression AnalysisClusteringTime-Series AnalysisNLPProject Management
Soft Skills
LeadershipCollaborationStrategic AdvisoryCommunicationStakeholder Management
Tools & Technologies
Power BITableauExcelAWSSnowflakeDatabricks
Industry Keywords
Unsecured LendingConsumer LendingCredit CardsRegulatory ComplianceOperational Oversight
Tech Stack
Tools & technologiesAWSPythonSQLTableau
About the role
Key responsibilities & impact- Lead analytical initiatives for unsecured lending portfolios, including personal loans and credit cards
- Provide strategic advisory, policy development, and operational oversight in credit risk analytics
- Lead and manage teams and deliver insights through advanced analytics and BI tools
- Design and implement A/B testing frameworks using Design of Experiments (DOE)
- Perform portfolio analytics to monitor performance, identify emerging risks, and recommend mitigation strategies
- Apply machine learning and AI techniques, including Random Forest, Gradient Boosting, and NLP, to risk prediction models
- Build and maintain BI frameworks and dashboards using Power BI, Tableau, and Excel
- Conduct regression, clustering, time-series, and statistical modeling
- Partner with legal, compliance, and audit teams on regulatory standards and risk appetite
- Present analytical findings to senior stakeholders and executive leadership
- Collaborate with cross-functional teams to optimize processes and automate data workflows
- Evaluate remediation analytics and restitution plans for policy and regulatory compliance
- Manage data infrastructure using AWS, Snowflake, and Databricks
- Position may work at various and unanticipated worksites throughout the United States
Requirements
What you’ll need- Bachelor's degree in Engineering, Technology, or a directly related field
- Eight (8) years of related professional experience
- Six (6) years of coding and testing experience using SAS, SQL, R, and Python
- Four (4) years of experience with risk and portfolio analytics, acquisition and line management strategy, collections strategy development, and credit card or consumer lending analytics
- Three (3) years of project management experience delivering complex initiatives, including timelines, stakeholder alignment, project milestones, and final deliverables
- Three (3) years of experience building strategy-outcome storylines, creating PowerPoint decks, and delivering reports and presentations to key executives
- Two (2) years of reporting/dashboarding and performance tracking using Power BI and Tableau
- Two (2) years of model development in the credit risk space
- Six (6) months of experience collaborating with Operations and Underwriting teams
- 40 hours/week, 9:00am-5:00pm
Benefits
Comp & perks- Telecommuting permitted
- Employee referral program