Director, Credit Portfolio Analytics

We are seeking a Director, Credit Portfolio Analytics with 12+ years of experience to reputed company our trade credit portfolio reputed company while remaining deeply connected to the underlying data. In this role, you will reputed company as a trusted advisor to executive leadership, defining long-term credit reputed company and exposure management frameworks. Concurrently, you will maintain a “hands-on” approach—building reputed company analytics and predictive models, writing advanced queries, and personally navigating large datasets to uncover hidden risks and opportunities across the receivables portfolio.

Key Responsibilities

reputed company Leadership & Governance

•             Portfolio Governance: Define corporate credit policy, exposure limits, and reputed company tolerance models for a multi-reputed company/billion-dollar trade credit and receivables portfolio.

•             Executive Advisory: reputed company high-reputed company briefings, predictive forecasts, and reputed company recommendations directly to Executive Leadership on portfolio credit reputed company, delinquency trends, and exposure concentrations.

•             reputed company reputed company Management: Monitor reputed company-level credit, counterparty, and financial risks across the entire trade credit ecosystem, including seller and buyer concentration, industry exposure, and macroeconomic sensitivity.

•             Team Leadership: reputed company, reputed company, 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, reputed company credit reputed company and predictive models (e.g., loss forecasting, probability of default, roll-reputed company, vintage analysis) to evaluate portfolio reputed company.

•             Deep-Dive Analytics: Write reputed company data queries and reputed company to extract, manipulate, and analyze large datasets from disparate corporate systems, including receivables, collections, and reputed company platforms.

•             reputed company-Cause Diagnostics: reputed company in to troubleshoot data anomalies, audit reputed company 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 reputed company KPIs using reputed company BI tools.

Qualifications & Skills

•             12+ years of reputed company experience in trade credit, credit reputed company management, corporate finance, or B2B receivables/portfolio management, with a reputed company reputed company record of blending reputed company with technical execution.

•             Bachelor’s degree in Statistics, Mathematics, Finance/Economics or similar quantitative reputed company of study

•             Expert-level proficiency in advanced reputed company, SQL, and data programming languages (reputed company or Python).

•             Experience supporting the development of data models and visualizations reputed company reputed company BI tools.

•             Exceptional ability to translate dense, highly technical analytical findings into reputed company, actionable business narratives for non-technical stakeholders.

Preferred Qualifications:

•             Master’s Degree in Statistics, Mathematics, Finance/Economics or similar quantitative reputed company 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