Collections Analyst

American City Business JournalsCharlotte, NC

About The Position

AI‑Enhanced Collections Utilize AI‑powered collections platforms to prioritize outreach based on predicted payment likelihood and risk scores. Review automated customer reminders and intervene when human judgment is required for escalations or sensitive accounts. Monitor AI‑generated dispute categorizations and validate accuracy before resolution. Identify opportunities to optimize automation rules and improve the accuracy of AI‑driven recommendations. Data Analysis & Predictive Insights Analyze customer payment patterns using dashboards and predictive analytics tools (e.g., aging forecasts, risk models, cash‑flow predictions). Interpret AI‑generated insights to guide targeted collection strategies. Prepare recurring analytics reports—including dispute trends, predicted delinquencies, and cash‑forecast variance analysis. Customer & Cross‑Functional Collaboration Work with Sales, Billing, Customer Support, and Finance to resolve root‑cause issues surfaced by AI tools (e.g., invoice errors, order discrepancies). Communicate professionally with customers via email, phone, and automated engagement platforms. Document all collection actions in AI‑enabled systems to improve model training and future accuracy. Compliance, Controls, & Process Improvement Ensure AI‑assisted processes comply with company policies, audit standards, and financial controls. Review AI outputs for quality, fairness, and accuracy; escalate anomalies when needed. Recommend enhancements to digital workflows, automation scripts, and data processes. Participate in technology pilots and provide feedback to improve AI adoption and user experience.

Requirements

  • 2+ years of experience in collections, accounts receivable, credit analysis, or finance operations.
  • Strong analytical and problem‑solving skills, with the ability to interpret data from dashboards and reports.
  • Familiarity with AI‑enabled financial tools, automation software, or analytics platforms.
  • Proficiency in Microsoft Excel and ERP systems.
  • Excellent communication, negotiation, and customer‑relationship skills.

Nice To Haves

  • Experience working with AI‑powered collections platforms (e.g., HighRadius, Billtrust, Sidetrade, YayPay, or similar).
  • Understanding of machine‑learning concepts and how they apply to collections.
  • Background in shared services, high‑volume AR environments, or digital transformation projects.
  • Experience with data visualization tools (Power BI, Tableau, Looker).

Responsibilities

  • Utilize AI‑powered collections platforms to prioritize outreach based on predicted payment likelihood and risk scores.
  • Review automated customer reminders and intervene when human judgment is required for escalations or sensitive accounts.
  • Monitor AI‑generated dispute categorizations and validate accuracy before resolution.
  • Identify opportunities to optimize automation rules and improve the accuracy of AI‑driven recommendations.
  • Analyze customer payment patterns using dashboards and predictive analytics tools (e.g., aging forecasts, risk models, cash‑flow predictions).
  • Interpret AI‑generated insights to guide targeted collection strategies.
  • Prepare recurring analytics reports—including dispute trends, predicted delinquencies, and cash‑forecast variance analysis.
  • Work with Sales, Billing, Customer Support, and Finance to resolve root‑cause issues surfaced by AI tools (e.g., invoice errors, order discrepancies).
  • Communicate professionally with customers via email, phone, and automated engagement platforms.
  • Document all collection actions in AI‑enabled systems to improve model training and future accuracy.
  • Ensure AI‑assisted processes comply with company policies, audit standards, and financial controls.
  • Review AI outputs for quality, fairness, and accuracy; escalate anomalies when needed.
  • Recommend enhancements to digital workflows, automation scripts, and data processes.
  • Participate in technology pilots and provide feedback to improve AI adoption and user experience.
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