Director, Credit Portfolio Analytics

Posted 4hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Director leading credit portfolio strategy and predictive analytics for TreviPay’s global B2B payments and invoicing network. Advising executives on risk, exposure, and receivables portfolio performance.

Responsibilities:

  • Define corporate credit policy, exposure limits, and risk tolerance models for a multi-million/billion-dollar trade credit and receivables portfolio
  • Deliver predictive forecasts, strategic recommendations, and high-impact briefings to Executive Leadership
  • Monitor credit, counterparty, financial, concentration, industry exposure, and macroeconomic risks across the trade credit ecosystem
  • Develop, direct, and upskill a team of credit and portfolio analysts
  • Establish data standards and analytical best practices
  • Design, build, and maintain scalable credit risk and predictive models, including loss forecasting, probability of default, roll-rate, and vintage analysis
  • Write complex queries and code to extract, manipulate, and analyze large datasets from receivables, collections, and underwriting systems
  • Troubleshoot data anomalies, audit credit loss and delinquency calculations, and validate team-generated reports
  • Support and maintain executive dashboards and visualization architectures for portfolio health, delinquency, and credit risk KPIs

Requirements:

  • 12+ years of progressive experience in trade credit, credit risk management, corporate finance, or B2B receivables/portfolio management
  • 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
  • Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles (preferred)
  • Statistical modeling experience, including logistic regression, machine learning, and SVM (preferred)
  • Prior leadership/management experience (preferred)

Benefits:

  • Competitive salary
  • Paid parental leave
  • Generous paid time off
  • Medical, dental, vision, FSA, Life/AD&D, long and short term disability
  • 401K matching
  • Employee referral program