Fraud Strategist Expert - Buenos Aires (Hybrid)

What you'll do We're looking for a Fraud Strategist Expert 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. In this role, you will:

• Define and own global fraud detection strategies, methodologies, and standards across fraud vectors, ensuring consistency and effectiveness across regions.
• Drive the evolution of Clara's fraud detection infrastructure, including rule engines, machine learning models, risk signals, and case management tools.
• Lead the AI and automation roadmap for fraud detection, identifying opportunities to automate alert triage, investigations, decision-making, and operational workflows using tools like N8N .
• Explore and implement AI-powered detection capabilities, including anomaly detection, behavioral analysis, intelligent alerts, and automated rule optimization.
• Anticipate emerging fraud threats, including AI-enabled fraud, synthetic identities, deepfakes, and evolving attack patterns, and develop robust mitigation strategies.
• Establish strong model governance and risk management practices, ensuring explainability, fairness, performance monitoring, auditability, and appropriate human oversight.
• Build mechanisms to share fraud intelligence across regions, enabling faster identification of emerging patterns and consistent deployment of detection strategies.
• Independently monitor and challenge regional fraud detection performance, identifying gaps, risks, and opportunities for improvement using data platforms like Databricks and Metabase .
• Partner closely with Fraud Operations, Risk, Product, Engineering, and Data Science to translate detection strategies into scalable tools and solutions.
• Define automation and monitoring strategies that enable 24/7 fraud detection coverage, reducing manual dependencies while maintaining effective controls.
• Establish clear KPIs and performance frameworks to measure detection effectiveness, automation coverage, model performance, and platform reliability.

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