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Credit Risk Manager
Greenbox Capital. Serve as a key operator within Greenbox Capital’s credit organization .
Posted 10/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $165,000 - $185,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in credit risk analytics and decisioning frameworks, leveraging analytics and predictive models to drive business growth and optimize portfolio management. Proficient in SQL, Python, and Excel, with a solid understanding of statistical modeling and credit underwriting processes.
Highest-signal resume keywords
Credit Risk AnalyticsSQL ProficiencyPython ProficiencyStatistical ModelingCredit Decisioning Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Credit Risk AnalyticsStatistical ModelingSQL ProficiencyPython ProficiencyExcel ProficiencyPortfolio ManagementCohort AnalysisFraud Detection StrategiesModel Performance EvaluationData Analysis
Soft Skills
AdaptabilityCollaboration
Tools & Technologies
SnowflakeDatabricksBusiness Intelligence Tools
Industry Keywords
Credit Underwriting ProcessesPortfolio InsightsApproval StrategyRisk ConcentrationsBusiness KPIs
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Serve as a key operator within Greenbox Capital’s credit organization
- Use analytics, predictive models, and portfolio insights to drive business growth and credit performance
- Own and evolve offer, portfolio management, and verification strategies
- Partner with the VP of Credit Risk & Analytics
- Optimize approval outcomes, manage portfolio risk, improve funnel performance, and support scalable growth
- Manage portfolio performance through segmentation, cohort analysis, and strategy refinement
- Evaluate portfolio trends and risk concentrations and adjust credit strategies
- Build and improve credit decisioning frameworks for approval strategy, pricing, and portfolio outcomes
- Optimize offer strategy across acquisition channels, customer segments, and risk tiers
- Develop verification strategies for fraud detection, identity validation, and operational efficiency
- Monitor approval funnels and conversion performance
- Evaluate and refine model performance using business KPIs
- Translate analytics into actionable business decisions across underwriting, finance, and product
- Report to the VP of Credit Risk & Analytics
Requirements
What you’ll need- Bachelor’s degree in mathematics, statistics, economics, finance, or a related field required; advanced degree preferred
- 5–8 years of experience in credit risk analytics, preferably in small business lending
- Proven success building or enhancing modern credit decisioning frameworks
- Demonstrated impact driving business outcomes through analytics and modeling
- Strong proficiency in SQL, Python, and Excel
- Solid understanding of statistical modeling and model performance evaluation techniques
- Experience working with large datasets and credit decisioning systems
- Familiarity with modern data platforms, e.g. Snowflake and Databricks, and BI tools
- Strong understanding of credit underwriting processes, policy design, and segmentation strategies
- Ability to work Eastern Time hours
- Adaptability and collaboration in a global, distributed team environment
Benefits
Comp & perks- Flexible PTO
- Fully remote within the U.S.
- Health, dental, and vision benefits
- 401K with employer match
- Supportive, collaborative teammates