- Location
- TreviPay - Kansas
- Workplace
- Remote
- Type
- Full-time
- Department
- Risk Management
- Seniority
- Director
- Source
- Lever
Description
Every day, TreviPay employees are challenged and empowered in a supportive, collaborative, entrepreneurial environment.
We are seeking a Director, Credit Portfolio Analytics with 12+ years of experience to lead our trade credit portfolio strategy while remaining deeply connected to the underlying data. In this role, you will act as a trusted advisor to executive leadership, defining long-term credit risk and exposure management frameworks. Concurrently, you will maintain a “hands-on” approach—building complex analytics and predictive models, writing advanced queries, and personally navigating large datasets to uncover hidden risks and opportunities across the receivables portfolio.
Key Responsibilities
Strategic Leadership & Governance
• Portfolio Governance: Define corporate credit policy, exposure limits, and risk tolerance models for a multi-million/billion-dollar trade credit and receivables portfolio.
• Executive Advisory: Deliver high-impact briefings, predictive forecasts, and strategic recommendations directly to Executive Leadership on portfolio credit quality, delinquency trends, and exposure concentrations.
• Enterprise Risk Management: Monitor macro-level credit, counterparty, and financial risks across the entire trade credit ecosystem, including seller and buyer concentration, industry exposure, and macroeconomic sensitivity.
• Team Leadership: Develop, direct, and upskill a high-performing team of credit and portfolio analysts, establishing data standards and analytical best practices.
Hands-On Analysis & Execution
• Advanced Modeling: Personally design, build, and maintain sophisticated, scalable credit risk and predictive models (e.g., loss forecasting, probability of default, roll-rate, vintage analysis) to evaluate portfolio performance.
• Deep-Dive Analytics: Write complex data queries and code to extract, manipulate, and analyze large datasets from disparate corporate systems, including receivables, collections, and underwriting platforms.
• Root-Cause Diagnostics: Step in to troubleshoot data anomalies, audit complex credit loss and delinquency calculations, and validate the underlying logic of team-generated reports.
• Dashboard Architecture: Support and maintain executive-level dashboards and visualization architectures tracking portfolio health, delinquency, and credit risk KPIs using enterprise BI tools.
Qualifications & Skills
• 12+ years of progressive experience in trade credit, credit risk management, corporate finance, or B2B receivables/portfolio management, with a proven track record of blending strategy with technical execution.
• Bachelor’s degree in Statistics, Mathematics, Finance/Economics or similar quantitative field of study
• Expert-level proficiency in advanced Excel, SQL, and data programming languages (SAS or Python).
• Experience supporting the development of data models and visualizations within Enterprise BI tools.
• Exceptional ability to translate dense, highly technical analytical findings into clear, actionable business narratives for non-technical stakeholders.
Preferred Qualifications:
• Master’s Degree in Statistics, Mathematics, Finance/Economics or similar quantitative field of study
• Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles
• Statistical modeling experience (logistic regression, machine learning, SVM, and more)
• Prior leadership/management experience
