Director of Credit & Analytics

Billd; Austin (TX); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Dog-friendly office

On-site fitness room

Quarterly company events

Job summary

Billd is seeking a Director of Credit and Analytics in Austin, TX to lead risk modeling for commercial construction financing. You will own model development, validation, and governance, focusing on CHAID-based decisioning, regression, and gradient boosting to optimize credit limits and pricing across multiple Billd products.

The role is senior, hands-on (≈90% analytics) with cross-functional collaboration and direct reporting to the COO.

Qualifications

• 8+ years in B2B credit or fintech
• 4+ years of hands-on advanced credit modeling
• Experience owning production credit risk models
• CHAID decision-tree modeling is required
• Strong statistical modeling and explainability skills (SHAP)
• Experience with loss forecasting and validation (KS, Gini/AUC)
• Excellent Python and SQL abilities
• Ability to communicate complex quantitative findings to leadership

Responsibilities

• Lead the design, development, and governance of CHAID-based models
• Forecast subcontractor cash flow and payment timing across the cycle
• Engineer predictive attributes from bank and credit data sources
• Translate model outputs into credit tiers and limits
• Define the credit modeling roadmap balancing growth and risk
• Own credit reporting to CEO, board, and partners
• Monitor model calibration, discrimination, and stability
• Integrate AI tools into model development and ensure reproducibility
• Collaborate with Operations, Underwriting, Finance, and Product to productionize changes

Skills

CHAID modeling

XGBoost

Python

SQL

SHAP explainability

Credit risk models

Portfolio analytics

Loss forecasting

Model governance

Education

Bachelor’s degree in quantitative field

Master’s degree or PhD preferred

Tools

Salesforce

Metabase

Job description

About Billd

Billd is a fast-growing fintech company looking to disrupt a $1.5 trillion industry. We offer first-of-its-kind, industry-leading financial and technology products to empower our customers, commercial subcontractors. We believe in championing the underdog because no one else does.

You will be challenged to bring your best self to Billd and guaranteed to have the most professionally rewarding experiences of your career. We pride our team on being focused, relentless, and driven, but never take ourselves too seriously and love having fun. At Billd, AI is central to how we build and operate. We’re looking for people who are energized by AI and want to be at the forefront of AI adoption.

As a rapidly growing company, we offer several opportunities for internal growth and career development. We’re committed to the motivated professionals that work at Billd, but don’t just take our word for it. Check out our 4.3 Glassdoor rating to see what our team has to say about working here.

But the praise doesn’t stop there. Some of our awards include:

• 4x Top Private Companies award winner (Austin Business Journal)
• 4x Fastest Growing Companies award winner (Austin Business Journal)
• 4x Top Technology Firm (Construction Executive Magazine)
• 2x Top Tech Employer in Austin (Austin Business Journal)
• 2x Best Places to Work (Forbes, BuiltIn)
• 1x Best CEO Nomination (Austin Business Journal)
• 1x Top 10 Startups in Austin (LinkedIn)

Benefits

• Our dog-friendly office features a fully stocked kitchen, on-site fitness room, and hosts quarterly company-wide team events.

This role follows an in office Mondays through Thursday schedule, with Friday remote, if desired. There is added flexibility available through our work from home allowance. This role is not eligible for fully remote work.

The Role

As the Director of Credit and Analytics, you will lead credit risk modeling and portfolio analytics at Billd. Reporting directly to the Chief Operating Officer, this role is responsible for the design, development, and ongoing performance of the decisioning models that govern underwriting, credit limit assignment, and risk-based pricing tiers across Material Financing, Pay App Advance, and Flex Line. Billd’s approach is specific to commercial construction: our models assess the subcontractor, the project, and the general contractor together to forecast the subcontractor’s cash flow and the timing of payments through the project payment chain. The modeling framework is built on CHAID decision trees, complemented by regression and gradient boosting (XGBoost).

This is a senior, hands‑on role that is approximately 90% analytical. You will set the strategic direction for Billd’s credit models and carry out the quantitative work directly, from feature engineering and model development through validation and performance monitoring, with AI-assisted analytics integrated into your daily workflow. You will also own all credit reporting to the CEO, the board of directors, and our capital partners.

The ideal candidate combines deep statistical expertise with a practitioner’s command of B2B credit, and pairs quantitative rigor with the judgment to interpret model outcomes in context. This role partners closely with Operations and Underwriting, who apply the models to individual transactions, and does not process or approve deals.

Key Responsibilities

• Credit Models: Lead the design, development, and governance of Billd’s CHAID-based decisioning models, incorporating regression and gradient boosting (XGBoost) where they improve predictive performance. Manage the full model lifecycle, including development, validation, deployment, ongoing monitoring, and recalibration.
• Cash Flow and Payment Prediction: Model the interaction of contractor, project, and general contractor risk to forecast subcontractor cash flow and payment timing across the construction payment cycle.
• Data and Risk Attributes: Engineer predictive attributes from bank transaction data, commercial and consumer credit bureau data, lien and judgment records, project data, and Billd’s internal repayment history. Assess new third‑party data sources based on their incremental predictive value.
• Tiers, Limits, and Eligibility: Translate model output into credit tiers, credit limit methodology, and product eligibility for Material Financing, Pay App Advance, and Flex Line, and recommend calibrated changes to credit policy thresholds.
• Credit Modeling Strategy: Define the credit modeling roadmap and its trade‑offs among growth, approval rates, and loss performance.
• Credit Reporting: Own all credit reporting to the CEO, board of directors, and capital partners, including portfolio performance and concentration, delinquency and loss trends, vintage and roll‑rate analysis, and model performance. Present model changes and recommendations to the Credit Committee.
• Monitoring and Forecasting: Monitor model discrimination, calibration, and stability over time. Lead loss forecasting, scenario analysis, and stress testing, and identify early indicators of portfolio deterioration.
• AI‑Driven Analytics: Integrate AI tools into model development, coding, and analysis, and maintain rigorous documentation so results are reproducible and auditable.
• Cross‑Functional Partnership: Partner with Operations, Underwriting, Finance, Engineering, and Product to implement model changes in production decisioning systems.

Skills and Qualifications

• Experience: 8+ years in B2B credit, such as commercial credit, small business finance, B2B fintech, or working capital, including 4+ years of hands‑on advanced credit modeling and owning production credit risk models.
• CHAID: Experience in CHAID decision‑tree modeling is required.
• Statistical Modeling: Expert in statistics and predictive modeling, including regression, gradient boosting (XGBoost), and explainability methods such as SHAP.
• Loss Forecasting and Validation: Experience with probability of default, vintage and roll‑rate analysis, survival models, backtesting, and performance monitoring (KS, Gini/AUC, PSI).
• Technical Skills: Advanced Python and SQL. Familiarity with Salesforce and BI tools such as Metabase is a plus.
• AI Proficiency: Daily, hands‑on use of AI tools such as Claude or Codex for coding, data analysis, and modeling, including validating AI‑generated output.
• Cash‑Flow Underwriting: Experience underwriting with bank transaction data is strongly preferred.
• Industry Background: Experience in construction, receivables, factoring, or trade credit is a plus.
• Communication: Demonstrated ability to communicate complex quantitative findings clearly to a board, executive team, or capital partners.
• Judgment and Ownership: Sound judgment in interpreting model results within the broader context of the business and the credit cycle, and the ability to work independently and own projects from start to finish.
• Education: Bachelor’s degree in a quantitative field required; master’s degree or PhD in statistics, mathematics, economics, data science, or a related field is strongly preferred.

Why Billd?

Billd is committed to diversity and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.