
11 - 50 employees
π³ Fintech
π€ B2B
π° $100M Debt Financing on 2023-09
Fintech β’ B2B
Flex is an end-to-end finance platform designed for businesses, facilitating various financial operations and enhancing financial management. With a focus on providing comprehensive financial solutions, Flex aims to streamline processes and improve efficiency for its users in the commercial sector.
π May 9
πΊπΈ United States β Remote
π΅ $150k - $250k / year
β° Full Time
π Senior
π Insurance
π¦ H1B Visa Sponsor
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11 - 50 employees
π³ Fintech
π€ B2B
π° $100M Debt Financing on 2023-09
Fintech β’ B2B
Flex is an end-to-end finance platform designed for businesses, facilitating various financial operations and enhancing financial management. With a focus on providing comprehensive financial solutions, Flex aims to streamline processes and improve efficiency for its users in the commercial sector.
β’ Analyze new applicant data to support automated and manual credit decisioning. β’ Work with data extracted from business financial statements, tax documents, and banking integrations (e.g., Quickbooks, Netsuite, Plaid, etc). β’ Leverage insights from adjacent product usage (e.g., business banking, payments platforms) to evaluate risk profiles. β’ Build dashboards or tools to surface real-time indicators for underwriting and fraud detection. β’ Monitor account-level behavior post-origination, including spend and payment patterns, credit utilization, and engagement. β’ Identify signs of weakening creditworthiness using internal data and third-party credit reports (e.g., Experian, D&B). β’ Track and analyze delinquency trends and payment consistency to refine risk models and collections strategies. β’ Develop behavioral segments and performance cohorts for proactive account management. β’ Support P&L analysis of the unsecured credit card product, including interchange income, interest revenue, rewards cost, and charge-off rates. β’ Build models to evaluate customer lifetime value, profitability segmentation, and risk-adjusted returns. β’ Assist in identifying drivers of loss and opportunities for margin improvement.
β’ 5β15 years of hands-on Collections risk management experience; direct exposure to both a bank or regulated card program and a fintech strongly preferred β’ Hands-on familiarity with the full delinquency lifecycle: DPD bucket management, treatment strategy design, charge-off policy, recovery curve modeling, and net loss attribution β’ Practical experience managing or working alongside third-party collections agencies β 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 β’ 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 β’ 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 β’ Understands the distinct dynamics of SMB collections β cash flow seasonality, the owner as guarantor, and where standard consumer treatment logic breaks down
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π‘ Mid-level
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π° $500M Post-IPO Debt on 2023-03
β° Full Time
π‘ Mid-level
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π¦ H1B Visa Sponsor