Fraud Strategist Expert - Bogotá (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 develop 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 for detection effectiveness and model performance.

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.