Fraud Strategist Expert - Bogotá (Hybrid)

The role

You will shape and scale global fraud detection strategies and infrastructure. This senior Individual Contributor role focuses on AI and automation to build intelligent, scalable systems for fraud prevention.

What you will do

• Define and own global fraud detection strategies, methodologies, and standards.
• Drive the evolution of fraud detection infrastructure including rule engines and machine learning models.
• Lead the AI and automation roadmap for fraud detection.
• Explore and implement AI-powered detection capabilities.
• Anticipate emerging fraud threats and develop mitigation strategies.
• Establish model governance and risk management practices.
• Build mechanisms to share fraud intelligence across regions.
• Monitor and challenge regional fraud detection performance using data platforms.
• Partner with Fraud Operations, Risk, Product, Engineering, and Data Science.
• Define automation and monitoring strategies for 24/7 coverage.

Required qualifications

• 7+ years of experience in Fraud Strategy, Fraud Prevention, Risk Analytics, Fraud Detection, or related functions, ideally within fintech, banking, payments, or financial services.
• Strong expertise in fraud detection methodologies, rules-based strategies, risk signals, and transaction monitoring.
• Experience designing, implementing, or optimizing fraud detection strategies and automated decisioning frameworks.
• Strong understanding of machine learning, AI-driven fraud detection, and automation.
• Experience working with fraud detection platforms, rule engines, case management systems, or risk decisioning tools.
• Strong analytical skills, with experience using SQL, Python, or similar tools.
• Experience defining and monitoring fraud detection KPIs.
• Understanding of model governance, explainability, risk controls, and human oversight.
• Proven role-specific execution with an ability to influence cross-functional and regional stakeholders.
• Adaptability to fast-changing environments, strong ownership, and problem-solving skills.
• Experience or strong interest in using AI tools to automate workflows.

Nice to have

• Experience designing or scaling fraud detection frameworks across multiple countries or business units, specifically within Latin American fintech or financial services ecosystems.
• Hands-on experience with AI-powered fraud detection, machine learning models, or automated investigation workflows.
• Familiarity with GenAI, LLMs, agentic workflows, or automation platforms applied to fraud operations.
• Experience with feature stores, model monitoring, anomaly detection, graph analytics, or advanced risk decisioning.
• Knowledge of emerging threats such as synthetic identity fraud, deepfake-enabled attacks, and AI-driven fraud schemes.
• Experience with model risk management, validation, fairness assessments, or AI governance.
• Familiarity with card fraud, payment fraud, account takeover, identity fraud, or other financial fraud vectors.
• Independent analytical skills using spreadsheets, SQL, or Python.
• A good sense of humor.

Benefits

• Competitive salary
• Stock options (ESOP) from day one
• An annual learning budget
• Accelerated development paths

About the company

Clara is the leading platform in Latin America for companies to execute and manage every payment operation. It is a team of ~400 people backed by several investors including Goldman Sachs.