$ cat jobs/collections-risk-management-lead-flex-one-8dc3c5b95817.json
Collections Risk Management Lead
Flex is building the AI-native private bank for business owners . We’re re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They’re stuck with outdated banks and fragmented tools. We’re replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a product that is fundamentally better—not incrementally improved. Flex Fuels Ambition. The Collections Risk Management Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the Fraud Risk Management function at Flex to a level that rivals the best in class. Core Responsibilities Own end-to-end collections risk management for Flex 's credit card portfolio across consumer and small business segments — end-to-end meaning full lifecycle coverage from early delinquency through post charge-off recovery: Early stage collections: monitor roll rates and delinquency migration across DPD buckets; design and refine treatment strategies by risk segment, balance tier, and obligor type; optimize contact timing, channel mix, and messaging to maximize cure rates before accounts deteriorate further Late stage collections: manage pre-charge-off intervention strategies; own the analytical framework for determining when accounts warran