
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₯ 5 minutes ago
π California, Florida, +1 more states β Remote
π΅ $120k - $145k / year
β° Full Time
π‘ Mid-level
π Senior
π² Risk
π¦ H1B Visa Sponsor
π» Ghost score 22%
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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 from business financial statements, tax documents, and banking integrations such as QuickBooks, NetSuite, and Plaid β’ Use adjacent product usage data to evaluate risk profiles β’ Build dashboards or tools for real-time underwriting and fraud-detection indicators β’ Monitor post-origination account behavior, including spending, payment patterns, credit utilization, and engagement β’ Identify weakening creditworthiness using internal data and third-party credit reports β’ 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 for the unsecured credit card product β’ Build models for customer lifetime value, profitability segmentation, and risk-adjusted returns β’ Identify loss drivers and opportunities for margin improvement
β’ 5+ years of experience in a data analytics or credit analytics role, preferably within fintech, credit cards, or SMB lending β’ Fluency in SQL / SAS and comfort with Python or R for exploratory data analysis and automation β’ Strong understanding of credit underwriting principles and SMB financial analysis β’ Experience interpreting business financials (P&L, balance sheet, tax returns) and cash flow data from banking sources β’ Familiarity with credit bureau data and commercial credit reports β’ Ability to communicate findings clearly and influence cross-functional stakeholders
β’ Meaningful equity β’ Benefits (not further specified)
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