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.

What you'll do

We're looking for a Fraud Strategist Expert to shape and scale Clara's integral 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.

- 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.

In this role, you will:

Who you are





We're looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.

We're looking for an experienced fraud professional who combines strategic thinking with deep technical understanding and a hands-on approach. You know how fraud detection works, understand how technology can improve it, and can turn complex challenges into scalable solutions across markets.

Must haves

- 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.

📌 Fraud Strategist Expert (Tandil)
🏢 Clara
📍 Tandil