Fraud Strategist Expert (Hybrid)

About the role

Clara, a Latin American payment platform, is looking for a Fraud Strategist Expert to shape and scale its global fraud detection strategy across all markets and fraud vectors. This is a senior Individual Contributor role reporting to the Head of Fraud, combining deep fraud expertise, analytical judgment and a builder mindset focused on AI and automation.

Key responsibilities

• Define and own global fraud detection strategies, methodologies and standards across fraud vectors
• Drive the evolution of fraud detection infrastructure, including rule engines, machine learning models, risk signals and case management tools
• Lead the AI and automation roadmap, automating alert triage, investigations, decision-making and workflows with tools such as N8N
• Implement AI-powered detection such as anomaly detection, behavioral analysis, intelligent alerts and automated rule optimization
• Anticipate emerging threats such as AI-enabled fraud, synthetic identities and deepfakes, and build mitigation strategies
• Set up model governance and risk management practices, including explainability, fairness, performance monitoring and human oversight
• Share fraud intelligence across regions and independently monitor regional detection performance using platforms such as Databricks and Metabase
• Partner with Fraud Operations, Risk, Product, Engineering and Data Science, and define KPIs and performance frameworks

Required profile

• 7+ years of experience in fraud strategy, fraud prevention, risk analytics, fraud detection or related fields, ideally in fintech, banking, payments or financial services
• Experience designing, implementing or optimizing fraud detection strategies and automated decisioning frameworks
• Ability to influence cross-functional and regional stakeholders without direct management authority
• Nice to have: experience scaling fraud detection across countries, knowledge of synthetic identity and deepfake fraud, and familiarity with model risk management and AI governance

Required skills

• Fraud detection methodologies, rules-based strategies, risk signals and transaction monitoring
• Machine learning, AI-driven fraud detection and automation
• SQL, Python or similar tools for analyzing fraud patterns and evaluating detection performance
• Defining and monitoring fraud KPIs such as detection rates, false positives and automation coverage

What we offer

• Competitive salary and stock options (ESOP) from day one
• An annual learning budget and accelerated development paths
• English as the working language, with Spanish and Portuguese every day