Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EXL

Vice President

EXL

. Act as the retail lending subject matter expert for the program .

Posted 10/27/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in retail lending analytics, including portfolio performance and credit quality, while effectively translating business needs into actionable metrics and requirements. Proven ability to lead senior-level client engagements and mentor teams in banking-domain knowledge.

Highest-signal resume keywords
Retail Lending AnalyticsCredit Lifecycle ManagementSQL ProficiencyStakeholder ManagementData Engineering Solutions

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills
Credit CardsPersonal LoansMortgage ProductsBusiness Metrics DefinitionDelinquency AnalysisLoss AnalysisVintage AnalysisRisk MonitoringMetric Logic DocumentationUAT Support
Soft Skills
Executive-Level Presentation SkillsVerbal CommunicationWritten CommunicationMentoringClient Engagement
Tools & Technologies
Power BIDatabricksSnowflakeData LakesBI Tools
Industry Keywords
BankingFinancial ServicesConsumer LendingCredit RiskRegulatory ReportingCECLCCARData ArchitectureDimensional ModelingOffshore Delivery Teams

Tech Stack

Tools & technologies
SnowflakeSQL

About the role

Key responsibilities & impact
  • Act as the retail lending subject matter expert for the program
  • Drive requirements with senior client stakeholders and guide client IT and data teams
  • Define, derive and document retail lending metrics, business logic, calculation rules and hierarchies
  • Guide the design of reports, KPIs and analytical use cases
  • Own business-side metric governance and resolve discrepancies across Product, Risk, Finance and Technology
  • Review and validate reports and outputs from onshore and offshore delivery teams
  • Identify data mismatches and work with client data provisioning teams to resolve them
  • Perform and guide analytics on portfolio performance, credit quality and customer behavior
  • Prioritize use cases by business value, impact and feasibility
  • Support the transformation roadmap and delivery priorities
  • Translate business needs into requirements, metric specifications and acceptance criteria
  • Support UAT through production
  • Mentor team members and build banking-domain knowledge across the technical delivery team
  • Oversee organizational data engineering solutions and lead high-impact initiatives
  • Ensure alignment with organizational goals and provide executive guidance

Requirements

What you’ll need
  • Bachelor's or Master's degree in Data Science, Computer Science, or related field
  • 10+ years of experience in banking or financial services, with a strong focus on consumer or retail lending
  • Deep, hands-on experience with Credit Cards, Personal Loans, Mortgage and other consumer products
  • Strong grasp of the credit lifecycle from acquisition through collections and charge-off
  • Proven experience in retail lending analytics, including portfolio performance, delinquency and loss analysis, vintage analysis, credit strategy or line management, and risk monitoring
  • Ability to define and derive business metrics and document metric logic, definitions and hierarchies
  • Ability to lead senior-level client conversations and guide stakeholders
  • Working knowledge of SQL or similar data tools
  • Strong stakeholder-management skills with senior business, risk, finance and technology leaders
  • Excellent verbal, written and executive-level presentation skills
  • Preferred: experience in BI, reporting or analytics transformation within a bank or financial institution
  • Preferred: familiarity with Power BI or similar BI tools, semantic models, dashboards and role-based access
  • Preferred: exposure to data engineering, data architecture, dimensional modeling, Databricks, Snowflake, data lakes or lakehouse platforms
  • Preferred: experience with offshore or multidisciplinary delivery teams
  • Preferred: familiarity with credit risk, underwriting, collections, finance and regulatory reporting such as CECL and CCAR
  • Preferred: consulting or client-facing delivery experience

Benefits

Comp & perks
  • Remote work with occasional travel
  • Hybrid workplace arrangement
  • Professional development through mentoring and building banking-domain knowledge
  • Opportunity to lead high-impact initiatives and provide executive guidance