Fraud Strategist Expert - Mexico City (Hybrid)

<div class="content-intro"><p><strong>Clara is the leading platform in Latin America for companies to execute and manage every payment operation.</strong> More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing company. We’re passionate about helping every company we work with become more effective—and, through that, raising the region’s competitiveness. We’re ~400 people, backed by Notable Capital, Coatue, Kaszek, monashees, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others.</p></div><div><strong>What you'll do</strong><br>We're looking for a <strong>Fraud Strategist Expert</strong> to shape and scale Clara's global fraud detection strategy across all markets and fraud vectors. Fraud prevention at Clara goes beyond reacting to suspicious transactions—it's about building intelligent, scalable systems that stay ahead of evolving fraud threats. This is a senior Individual Contributor role reporting to the Head of Fraud. You will combine deep fraud expertise, strong analytical judgment, and a builder mindset focused on AI and automation to ensure innovation is balanced with strong governance and effective risk controls.<br><strong>In this role, you will:</strong></div> <ul> <li>Define and own global fraud detection strategies, methodologies, and standards across fraud vectors, ensuring consistency and effectiveness across regions.</li> <li>Drive the evolution of Clara's fraud detection infrastructure, including rule engines, machine learning models, risk signals, and case management tools.</li> <li>Lead the AI and automation roadmap for fraud detection, identifying opportunities to automate alert triage, investigations, decision-making, and operational workflows using tools like <strong>N8N</strong>.</li> <li>Explore and implement AI-powered detection capabilities, including anomaly detection, behavioral analysis, intelligent alerts, and automated rule optimization.</li> <li>Anticipate emerging fraud threats, including AI-enabled fraud, synthetic identities, deepfakes, and evolving attack patterns, and develop robust mitigation strategies.</li> <li>Establish strong model governance and risk management practices, ensuring explainability, fairness, performance monitoring, auditability, and appropriate human oversight.</li> <li>Build mechanisms to share fraud intelligence across regions, enabling faster identification of emerging patterns and consistent deployment of detection strategies.</li> <li>Independently monitor and challenge regional fraud detection performance, identifying gaps, risks, and opportunities for improvement using data platforms like <strong>Dat