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Prosper MarketplacePosted 10/20/2026full-timeSan Francisco • California • United StatesLead💰 $230,000 - $287,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading analytics functions within financial services, focusing on credit risk management and consumer lending collections. Proficient in statistical modeling, data-driven strategy development, and cross-functional collaboration to optimize portfolio performance.
Highest-signal resume keywords
Master's Degree In Statistics, Economics, Mathematics, Engineering, Data Science, Or Business10+ Years Leading Advanced Analytics And Modeling TeamsExpertise In Consumer Lending Collections Or Credit Risk ManagementHands-On Fluency With SQL, Python/R, And BI/Visualization PlatformsExperience Building Or Deploying Predictive Machine Learning Models
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead the Analytics function within the Collections & Recoveries organization
- Optimize portfolio credit performance across Personal Loans and Credit Card business lines
- Lead and empower analytics teams to design, test, and deploy data-driven strategies across the credit lifecycle
- Direct AI/ML and BI capabilities to generate actionable insights
- Oversee development, validation, and maintenance of loss forecasting models
- Design, execute, and evaluate A/B and multivariate strategy experiments
- Monitor portfolio performance at a segment level, identify risk trends, perform root-cause analysis, and isolate performance drivers
- Establish KPIs and operational dashboards
- Architect, deploy, and refine customer contact and treatment strategies for early-stage collections and late-stage recoveries
- Develop innovative borrower engagement, digital outreach, and treatment optimization approaches
- Present portfolio health, strategy performance, and key metrics to executive leadership and external partners
- Partner with Credit Risk, Marketing, Product, Engineering, and Operations
- Report directly to the VP of Collections & Recoveries
Requirements
What you’ll need- Master’s degree in Statistics, Economics, Mathematics, Engineering, Data Science, Business, or a related quantitative field
- 10+ years of progressive experience leading advanced analytics and modeling teams in financial services
- Direct expertise in consumer lending collections or credit risk management
- Proven track record of building high-performing analytical teams and influencing cross-functional stakeholders
- Excellent communication and organizational skills
- Deep expertise in statistical modeling, segmentation, loss forecasting, and modern analytics workflows
- Hands-on fluency with SQL, Python/R, and BI/visualization platforms such as Tableau, PowerBI, or Looker
- Ability to synthesize complex data, prioritize high-impact initiatives, and operate with urgency in a fast-paced environment
- Preferred: hands-on experience building or deploying predictive machine learning models, such as propensity-to-pay, roll-rate, or channel-response models
Benefits
Comp & perks- 401(k) with a 5% company match
- Flexible time off
- Paid parental leave
- Annual wellness allowance
- Comprehensive health coverage
- Udemy access
- Childcare assistance
- Pet insurance
- Additional savings through Beneplace
- Hybrid environment with remote-work flexibility
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingLoss ForecastingData-Driven Strategy DevelopmentA/B TestingMultivariate Strategy ExperimentsRoot-Cause AnalysisKPI EstablishmentCustomer Treatment OptimizationPredictive Machine LearningSegmentation
Soft Skills
Excellent Communication SkillsOrganizational SkillsAbility To Synthesize Complex DataInfluencing Cross-Functional StakeholdersOperating With Urgency
Tools & Technologies
SQLPythonRTableauPowerBILooker
Industry Keywords
AnalyticsCollectionsRecoveriesCredit PerformancePortfolio ManagementFinancial ServicesAI/ML CapabilitiesDigital OutreachCustomer EngagementOperational Dashboards