Fraud Strategist Expert
ClaraPayments company
São Paulo, BrazilSenior
Coatue
ICONIQ Growth
General Catalyst
DST Global
monashees
Kaszek Ventures
Data & AINew
About the role
TL;DR
Define and scale global fraud detection strategies using AI and automation.
- •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.
- •If it can be simpler, it should be.
- •We own everything we do, end to end.
- •When something needs to happen, we don't wait.
- •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.
- •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.
Required skills
PythonSQLDatabricksRisk Management
Nice-to-have skills
LLMsLangChain
Domain expertise
fintech
Tech stack
PythonSQLDatabricks
