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Quod

Fraud Prevention Analyst (Mid-Level)

Quod

. Monitor the operation of fraud prevention solutions, identifying anomalies, suspicious behavior, failures, and opportunities for improvement .

Posted 11/5/2026full-timeBarueri • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in fraud prevention solutions, including rule analysis, operational monitoring, and technical support. Proficient in SQL, Python, and data visualization tools, with a strong focus on process optimization and compliance with information security standards.

Highest-signal resume keywords
Fraud Prevention SolutionsAdvanced SQL SkillsLexisNexis ThreatMetrixTechnical DocumentationData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Fraud PreventionRisk ManagementRule AnalysisOperational MonitoringData AnalysisTechnical SupportPythonREST APIsJSONAnalytical Models
Soft Skills
Clear CommunicationDemand Organization
Tools & Technologies
LexisNexis ThreatMetrixPower BIProcess Mapping Tools
Industry Keywords
Fraud DetectionContinuous ImprovementDevice IntelligenceDigital IdentityRisk Assessment

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Monitor the operation of fraud prevention solutions, identifying anomalies, suspicious behavior, failures, and opportunities for improvement
  • Analyze, configure, and monitor fraud prevention rules, parameters, and strategies
  • Track performance indicators such as rule effectiveness, approval rates, blocks, and false positives
  • Provide technical support to clients by investigating incidents, identifying root causes, and resolving or routing requests as appropriate
  • Perform preventive monitoring routines to anticipate potential issues in client operations
  • Participate in testing, user acceptance testing, implementations, and validation of fraud prevention rules and solutions
  • Support analyses of integrations between platforms, APIs, and internal and external systems
  • Identify opportunities for automation, process optimization, and continuous operational improvement
  • Document processes, configurations, rules, operational workflows, procedures, and implemented changes
  • Proactively engage with clients by analyzing operations and identifying opportunities to enhance fraud prevention strategies
  • Collaborate with Technology, Data & Analytics, Information Security, vendors, and other relevant teams
  • Share technical knowledge with the team
  • Ensure compliance with internal Information Security, privacy, and data governance policies

Requirements

What you’ll need
  • Bachelor’s degree in Information Technology, Engineering, Mathematics, Statistics, Business Administration, or a related field
  • Professional experience in fraud prevention, risk management, or the operation of fraud prevention solutions; three or more years preferred
  • Hands-on experience with fraud prevention platforms, including rule analysis, decision strategies, and operational monitoring
  • Advanced SQL skills for querying, extracting, and analyzing data
  • Ability to analyze and interpret operational and fraud prevention metrics
  • Experience investigating issues, providing technical support, and interacting with clients or partner teams
  • Strong technical documentation, demand organization, and clear communication skills
  • Experience with LexisNexis ThreatMetrix (TMX), especially rule configuration, risk analysis, event investigation, and technical support
  • Knowledge of Python for analysis, automation, and data processing
  • Knowledge of REST APIs, JSON, integrations, and log interpretation
  • Experience with device intelligence, digital identity, and risk assessment solutions
  • Experience with fraud prevention rule testing, user acceptance testing, and validation
  • Knowledge of data visualization tools such as Power BI
  • Knowledge of analytical models, fraud detection mechanisms, and false-positive reduction strategies
  • Familiarity with process mapping tools and continuous improvement methodologies
  • Knowledge of the responsible application of artificial intelligence in processes and analyses

Benefits

Comp & perks
  • Flexible meal and food allowances
  • Bradesco health insurance, extendable to dependents, with copayments
  • MetLife dental insurance
  • Gym allowance
  • Childcare assistance for children up to 2 years old
  • Life insurance
  • Private pension plan
  • Annual profit-sharing bonus, subject to achievement of established targets
  • For hybrid employees: mobility allowance, including parking and fuel
  • For remote employees: home office allowance
  • UniQuod, a corporate university offering courses
  • Partnerships with various educational institutions to support your professional development