Analista Prevenção Fraude SR at iFood - ScoutJobs - The AI-curated global job board
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Posted 20 hours ago

Analista Prevenção Fraude SR

iFood

Requirements

Product vision for issuing cards, Knowledge of payment protocols, Chargeback management expertise, Anti-fraud partner integration experience, Analytical and data-driven mindset

Skills

SQLFintech

About the role

About the Company

iFood is a leading Brazilian technology company and a reference in Latin America. Through innovative solutions, we connect thousands of restaurants to millions of consumers daily. Our fintech arm, iFood Pago, includes iFood Benefícios and banking services for restaurants.

Responsibilities

  • Manage individual and corporate card products as an issuer, defining roadmaps, policies, and operational requirements
  • Coordinate integration and operation with anti-fraud partners in transactional and authorization flows
  • Supervise chargeback management and dispute processes, including playbook definition and case monitoring
  • Conduct audit processes and ensure compliance with card brand rules and regulatory requirements
  • Monitor fraud and performance metrics, analyzing transactional data to execute mitigation actions
  • Collaborate with risk, product, engineering, compliance, and card brand teams to implement solutions
  • Propose data-driven experiments and improvements to reduce fraud and optimize conversions

Requirements

  • Product vision applied to issuing cards
  • Knowledge of authorization flows and payment protocols
  • Mastery of chargeback management and card brand rules
  • Experience with anti-fraud partner integration and operationalization
  • Ability to conduct audits and ensure compliance
  • Analytical capacity to work with transactional data and make metric-based decisions
  • Data-driven mindset with focus on results and 80/20 prioritization
  • Clear communication and collaborative skills

Preferred Qualifications

  • Experience with generative AI applied to fraud detection or process automation
  • Experience with payment platforms and card brand integrations
  • Familiarity with data analysis tools and SQL
  • Knowledge of risk modeling and fraud scoring
  • Experience with third-party anti-fraud systems and rule orchestration
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Analista Prevenção Fraude SR

iFood · Brazil

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