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Billd

Director of Credit, Analytics

Billd

. Lead the design, development, governance, validation, deployment, monitoring, and recalibration of CHAID-based credit decisioning models .

Posted 10/22/2026full-timeAustin • Texas • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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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

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Applicant Tracking System Keywords

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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 & technologies
PythonSQL

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