Director of Credit and Risk

Description We are looking for an experienced credit risk leader to guide portfolio strategy while staying closely involved in the analytical work that drives sound decision-making. This position will oversee portfolio governance, shape risk frameworks, and provide senior leadership with clear insight into exposure, delinquency, and overall credit health. Based in Overland Park, Kansas, the role also requires a practical, data-driven approach to modeling, reporting, and identifying emerging risks across a complex receivables environment.

Responsibilities:

• Establish and refine credit policies, portfolio thresholds, and risk tolerance guidelines for a large-scale trade credit and receivables portfolio.

• Provide executive leadership with forward-looking analysis, portfolio updates, and strategic recommendations related to credit performance and concentration risk.

• Evaluate enterprise-wide exposure by monitoring counterparty trends, industry concentrations, delinquency patterns, and broader economic factors that may affect portfolio quality.

• Lead, mentor, and strengthen a team of analysts by promoting strong analytical discipline, data integrity, and consistent reporting standards.

• Build and enhance predictive and portfolio models used for forecasting losses, assessing default trends, and measuring portfolio movement over time.

• Query, organize, and interpret large volumes of data from receivables, collections, underwriting, and related business systems to support risk analysis.

• Investigate reporting inconsistencies, validate calculations, and resolve data issues to ensure the accuracy of portfolio insights and risk metrics.

• Maintain and improve executive dashboards and business intelligence reporting that track key indicators tied to portfolio performance and credit exposure. Requirements • 12+ years of progressive experience in trade credit, credit risk, portfolio management, corporate finance, or B2B receivables analysis.

• Bachelor’s degree in Statistics, Mathematics, Finance, Economics, or another quantitative discipline.

• Advanced capability with Excel, SQL, and Python or similar programming tools used for large-scale data analysis.

• Experience creating analytical models and supporting reporting solutions within enterprise business intelligence platforms.

• Strong ability to convert technical findings into practical recommendations for business leaders and non-technical stakeholders.

• Knowledge of credit risk modeling, credit exposure assessment, and commercial or banking credit analysis.

• Prior experience leading teams or managing analysts in a credit, risk, or portfolio analytics environment.

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