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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in CHAID-based credit decisioning models, advanced credit modeling, and predictive analytics, with a strong ability to communicate complex quantitative findings to stakeholders. Proficient in integrating AI tools into model development and maintaining rigorous documentation.
Highest-signal resume keywords
CHAID Decision-Tree ModelingAdvanced Credit ModelingPredictive AnalyticsPython ProgrammingSQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive ModelingRegression AnalysisGradient BoostingSurvival ModelsBacktestingPerformance MonitoringProbability Of DefaultCash Flow ForecastingModel CalibrationScenario Analysis
Soft Skills
Clear CommunicationSound JudgmentIndependent WorkProject Ownership
Tools & Technologies
AI ToolsSalesforceMetabase
Industry Keywords
B2B CreditCommercial CreditSmall Business FinanceFintechConstruction Finance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead the design, development, governance, validation, deployment, monitoring, and recalibration of CHAID-based credit decisioning models
- Model contractor, project, and general contractor risk to forecast subcontractor cash flow and payment timing
- Engineer predictive attributes from bank transactions, credit bureau data, lien and judgment records, project data, and internal repayment history
- Assess third-party data sources for incremental predictive value
- Translate model outputs into credit tiers, credit limits, product eligibility, and credit policy threshold recommendations
- Define the credit modeling roadmap and balance growth, approval rates, and loss performance
- Own credit reporting to the CEO, board of directors, and capital partners
- Present model changes and recommendations to the Credit Committee
- Monitor model discrimination, calibration, and stability
- Lead loss forecasting, scenario analysis, stress testing, and early-warning indicator identification
- Integrate AI tools into model development, coding, and analysis while maintaining reproducible and auditable documentation
- Partner with Operations, Underwriting, Finance, Engineering, and Product to implement model changes in production decisioning systems
- Report directly to the Chief Operating Officer
- Does not process or approve individual deals
Requirements
What you’ll need- 8+ years in B2B credit, including commercial credit, small business finance, B2B fintech, or working capital
- 4+ years of hands-on advanced credit modeling and owning production credit risk models
- Experience in CHAID decision-tree modeling required
- Expert in statistics and predictive modeling, including regression, gradient boosting (XGBoost), and explainability methods such as SHAP
- Experience with probability of default, vintage and roll-rate analysis, survival models, backtesting, and performance monitoring (KS, Gini/AUC, PSI)
- Advanced Python and SQL
- Daily, hands-on use of AI tools such as Claude or Codex for coding, data analysis, and modeling, including validating AI-generated output
- Bachelor's degree in a quantitative field required
- Experience underwriting with bank transaction data strongly preferred
- Familiarity with Salesforce and BI tools such as Metabase is a plus
- Experience in construction, receivables, factoring, or trade credit is a plus
- Ability to communicate complex quantitative findings clearly to a board, executive team, or capital partners
- Sound judgment in interpreting model results within the broader context of the business and credit cycle
- Ability to work independently and own projects from start to finish
Benefits
Comp & perks- Fully stocked kitchen
- On-site fitness room
- Quarterly company-wide team events
- Friday remote work, if desired
- Work from home allowance
- Internal growth and career development opportunities
