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About the CompanyFlex 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.Since launching publicly in September 2023, Flex has scaled from zero to nine-figure annualized revenue, with a clear path to profitability by late 2025. 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 They’re stuck with outdated banks and fragmented tools.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 $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt.What You'll DoProgram build: Design and stand up our multi-layer fraud stack (application, account opening/funding, account takeover, transaction monitoring, disputes/chargebacks).Vendor strategy: Select, integrate, and tune identity, device, behavioral, and transaction-risk providers; negotiate and measure ROI.Decisioning & analytics: Develop rules, features, and models; define thresholds to control false positives/negatives; run A/Bs and champion-challengers.Data & signals: Operationalize bureau, banking, PII, device/IP, email/phone, telco, velocity, and network signals into a single decisioning framework.Program Quality & performance: Monitor precision, capture rate, approval impact, and loss basis points; calibrate and backtest.Cross-functional execution: Partner with Product, Engineering, Data, Ops, and Compliance (KYC/AML, FCRA/GLBA, Reg E/Reg Z).Guide dispute strategy to minimize friendly/first-party abuse.What We’re Looking For (requirements)7+ years in issuer-side fraud for cards and/or DDA/neobank (experience on the Consumer and Commercial side is a definite plus).Demonstrated build-from-scratch experience: stood up a new fraud stack or materially re-platformed one.Hands-on with SQL and practical Python/R for feature/rule prototyping and performance analysis.Depth in 1st-party vs 3rd-party vs synthetic patterns (e.g., bust-out, thin-file synths, ATO).Proven track record balancing loss bps versus approval rate and customer friction.Vendor evaluation and commercial ownership (pricing, SLAs, monitoring, deprecation).Comfort working independently; can own roadmap, write PRDs/specs, and ship with engineers.Salary Range$160,000 - $200,000 a yearBased on experience.Why Join UsFlex is growing quickly — you’ll help shape the direction of a product and company with real momentum.We’re well-capitalized with strong backing and a clear long-term vision.You’ll work with a sharp, driven team that values autonomy, clarity, and quality.Join ambitious builders who care deeply about winning together — and having fun while doing it.Annual team on-sites. From Bogota to Mexico City, the entire Flex team gets together once a year to align and build camaraderie.Team & LocationsWe hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote.Flex Fuels Ambition.We’re a fintech issuing unsecured credit cards and DDAs. You’ll work directly with the CRO to build a fraud management function — from green-field design to day-to-day performance—leveraging third-party providers and internal analytics to stop 1st-party, 3rd-party, and synthetic fraud balanced appropriately with growth objectives.AI DisclaimerWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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