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Clara

Fraud Strategist Expert

Clara

. Define and own global fraud detection strategies, methodologies, and standards across fraud vectors and regions .

Posted 10/23/2026full-timeSão Paulo • BrazilSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in fraud detection strategies, methodologies, and AI-driven automation, with a strong focus on risk management and performance monitoring. Capable of translating complex fraud challenges into scalable solutions while collaborating effectively across cross-functional teams.

Highest-signal resume keywords
Fraud Detection MethodologiesMachine LearningSQLAI-Driven Fraud DetectionFraud Detection KPIs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Fraud StrategyRisk AnalyticsTransaction MonitoringAutomated Decisioning FrameworksAnomaly DetectionBehavioral AnalysisPerformance MonitoringExplainabilityRisk ControlsAutomation Coverage
Soft Skills
Problem-SolvingAdaptabilityOwnershipInfluencing StakeholdersCollaboration
Tools & Technologies
N8NDatabricksMetabaseFraud Detection PlatformsRule EnginesCase Management Systems
Industry Keywords
FintechBankingPaymentsFinancial ServicesFraud Prevention

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Define and own global fraud detection strategies, methodologies, and standards across fraud vectors and regions
  • Drive the evolution of fraud detection infrastructure, including rule engines, machine learning models, risk signals, and case management tools
  • Lead the AI and automation roadmap for fraud detection, including alert triage, investigations, decision-making, and operational workflows using tools such as N8N
  • Explore and implement AI-powered detection capabilities such as 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 mitigation strategies
  • Establish model governance and risk management practices covering explainability, fairness, performance monitoring, auditability, and human oversight
  • Build mechanisms to share fraud intelligence across regions and deploy consistent detection strategies
  • Monitor and challenge regional fraud detection performance using Databricks and Metabase
  • Partner with Fraud Operations, Risk, Product, Engineering, and Data Science to translate strategies into scalable tools and solutions
  • Define automation and monitoring strategies for 24/7 fraud detection coverage
  • Establish KPIs and performance frameworks for detection effectiveness, automation coverage, model performance, and platform reliability
  • Report to the Head of Fraud as a senior individual contributor

Requirements

What you’ll need
  • 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 using SQL, Python, or similar tools
  • 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 and ability to influence cross-functional and regional stakeholders without direct management authority
  • Adaptability to fast-changing environments, strong ownership, problem-solving skills, and ability to translate complex fraud challenges into practical, scalable solutions
  • Experience or strong interest in using AI tools to automate workflows

Benefits

Comp & perks
  • Competitive salary
  • Stock options (ESOP) from day one
  • Annual learning budget
  • Accelerated development paths
  • High talent-density team with low ego and high ownership
  • English working environment with Spanish and Portuguese used every day