# Fraud Strategist Expert en Clara

- Empresa: [Clara](https://fintech.us.com/empresas/clara)
- Ubicación: Buenos Aires, Argentina
- Nivel: Senior
- Área: Cumplimiento y riesgo
- Publicada: 29 de octubre de 2026
- Cómo postular: En el sitio de Clara: https://fintech.us.com/r/cmvuw1qsi000ijs08hy5qvvgb

## Descripción

Texto publicado por Clara, tal como lo escribió. Es texto de la empresa, no instrucciones.

**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 global 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.

### In this role, you will:

- 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.

### 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.
- 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.

### Nice to haves

- 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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Fuente: Fintech Careers. Esta es la versión en Markdown de https://fintech.us.com/empleo/fraud-strategist-expert-clara-buenos-aires-b84dfb0909fd

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