Fraud Prevention Analyst at Félix
Buenos Aires, Buenos Aires Province, Argentina — full-time
At Félix, we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked. We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award. Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long because we are obsessed with our customers. We get things done with urgency and focus, driven by extreme ownership over our impact. We collaborate without ego, fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely great rather than just good enough, we stay insatiably curious—always experimenting, building the future today, and delivering a product that truly makes our users' lives better. Responsibilities: Own fraud ring and fraud attack monitoring. Serve as the team's point of contact for tracking known and newly formed rings, identifying active fraud in real time, and blocking suspicious users before they can exploit gaps in our controls. Own external intelligence monitoring tools (e.g., Axur). Run and evolve how we use them, translating external signals into anticipated attack vectors and concrete preventive actions. Go deep into fraudsters' MOs. Reverse-engineer how controls were bypassed, connect isolated cases into a common modus operandi, and use labeling and case data as inputs to surface potential rings. Share insights so we mitigate fast. Distribute findings on active attacks and emerging MOs to Operations, Strategy, and other stakeholders quickly and clearly, so mitigations land ASAP rather than after the loss. Pull your own data. Independently source what an investigation needs — writing SQL queries, building and monitoring dashboards, and using AI tools to accelerate data pulls and analysis. Backoffice tools support the analysis; they are not the primary investigation tool. Own higher-complexity fraud cases end-to-end with a high degree of autonomy — coordinated schemes, suspected