Analista de Prevenção a Fraudes

New
J
JobgetherFinancial technology
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
SQLBusiness IntelligenceMicrosoft ExcelCompliance

Requirements

  • Availability to work 40 hours per week.
  • Previous experience in fraud prevention within financial operations.
  • Practical experience analyzing risk and fraud cases and making decisions involving approval, rejection, or escalation.
  • Experience working in high-volume operational environments with defined SLAs, such as customer-service queues, back-office operations, or case-analysis teams.
  • Previous experience in fintechs, digital banks, payment companies, or related financial-services environments.
  • Bachelor’s degree in Administration, Economics, Accounting, Information Technology, or a related field.
  • Familiarity with chargeback/dispute processes and identity-validation procedures such as KYC and facial biometrics is desirable.
  • Knowledge of payment-industry regulations, including Central Bank requirements and card-network rules, is a plus.
  • Advanced Excel skills and knowledge of SQL and/or BI tools such as Metabase are desirable.
  • Certifications in Compliance, AML/KYC, or Fraud Prevention, such as CFE or equivalent, are advantageous.
  • Strong analytical and investigative thinking, with the ability to identify risk patterns.
  • Clear and assertive communication skills.

Responsibilities

  • Provide first-level support to partners and internal teams regarding transaction fraud prevention.
  • Manage chargeback and dispute processes, handling overdue or pending cases.
  • Monitor the effectiveness of antifraud rules and recommend data-driven improvements to reduce losses.
  • Analyze facial biometric validation processes to make decisions on approval, rejection, or escalation.
  • Evaluate fraud and risk cases while ensuring compliance with internal controls and regulatory requirements.
  • Identify patterns and bottlenecks across fraud prevention workflows to optimize processes.
  • Manage high-volume workloads while maintaining quality and adherence to established SLAs.
  • Collaborate with internal stakeholders to communicate findings and implement risk-control solutions.
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