Collections Risk Management Lead

🕒 Maio 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $250.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔒 Seguros

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Flex

SiteLinkedInTodas as Vagas

11 - 50 funcionários

💳 Fintech

🤝 B2B

💰 $100.000.000 Debt Financing em 2023-09

Fintech • B2B

Plataforma financeira end-to-end para empresas.

Descrição

• Analyze new applicant data to support automated and manual credit decisioning. • Work with data extracted from business financial statements, tax documents, and banking integrations (e.g., Quickbooks, Netsuite, Plaid, etc). • Leverage insights from adjacent product usage (e.g., business banking, payments platforms) to evaluate risk profiles. • Build dashboards or tools to surface real-time indicators for underwriting and fraud detection. • Monitor account-level behavior post-origination, including spend and payment patterns, credit utilization, and engagement. • Identify signs of weakening creditworthiness using internal data and third-party credit reports (e.g., Experian, D&B). • Track and analyze delinquency trends and payment consistency to refine risk models and collections strategies. • Develop behavioral segments and performance cohorts for proactive account management. • Support P&L analysis of the unsecured credit card product, including interchange income, interest revenue, rewards cost, and charge-off rates. • Build models to evaluate customer lifetime value, profitability segmentation, and risk-adjusted returns. • Assist in identifying drivers of loss and opportunities for margin improvement.

🎯 Requisitos

• 5–15 years of hands-on Collections risk management experience; direct exposure to both a bank or regulated card program and a fintech strongly preferred • Hands-on familiarity with the full delinquency lifecycle: DPD bucket management, treatment strategy design, charge-off policy, recovery curve modeling, and net loss attribution • Practical experience managing or working alongside third-party collections agencies — understands liquidation economics, placement timing trade-offs, cost-to-collect dynamics, and how to build a KPI framework that holds vendors accountable without creating perverse incentives • Analytically self-sufficient: proficient in SQL and Python or R; capable of building roll rate matrices, cure rate cohorts, and recovery forecasts from raw data rather than consuming pre-built reports • Familiar with the regulatory overlay on collections: FDCPA obligations, Reg F communication rules, UDAAP considerations in treatment strategy design, and state-level restrictions that affect contact and remediation practices • Understands the distinct dynamics of SMB collections — cash flow seasonality, the owner as guarantor, and where standard consumer treatment logic breaks down