Fraud Strategist Expert - Bogotá (Hybrid)
Clara
Bogota D.C.
Clara is the leading platform in Latin America for companies to execute and manage every payment operation. 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.
- 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.
- 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, with the ability to collaborate effectively with technical teams.
- 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 to analyze fraud patterns, evaluate detection performance, and identify opportunities.
- Experience defining and monitoring fraud detection KPIs, including detection rates, false positives, automation coverage, and model effectiveness.
- Understanding of model governance, explainability, risk controls, and human oversight in automated decision-making.
- Proven role-specific execution with an ability to influence cross-functional and regional stakeholders without direct management authority.
- Adaptability to fast-changing environments, strong ownership, problem-solving skills, and the ability to translate complex fraud challenges into practical, scalable solutions.
- Experience or strong interest in using AI tools to automate workflows.
- 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.
Why Clara
- A high talent-density team driven to make an impact in Latin America — low ego, high ownership.
- Competitive salary and stock options (ESOP) from day one.
- An annual learning budget and accelerated development paths.
- English is our working language, with Spanish and Portuguese every day.
How we work
- Clarity — Open and direct communication: we say what we mean and give context where it matters.
- Simplicity — If it can be simpler, it should be.
- Ownership — We own everything we do, end to end. When something needs to happen, we don't wait.
- Pride — We hold ourselves to a high standard, and it shows in what we deliver.
- ABC (Always Be Changing) — We adapt fast, embrace change, and keep learning.
- Inclusivity — Diverse ideas, stories and perspectives build a better Clara.
If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.
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