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Especialista de Prevencao a Fraude

Especialista de Prevencao a Fraude at Jobgether scores 25 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (Brazil)seniorFull-time

AI in this role

Lead data engineering and graph-based modeling for a large-scale relational intelligence and fraud prevention platform.

graph-databasescloud-infrastructuredata-pipelines
data-engineeringgraph-modelingfraud-intelligencedata-governance

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Especialista de Prevenção a Fraude based in Brazil.

This role offers the opportunity to work at the intersection of data engineering, graph technology, and fraud intelligence. You will serve as a technical reference for a large-scale relational intelligence platform connecting hundreds of millions of entities and relationships. Your work will directly support fraud prevention, identity, compliance, risk, investigations, and business intelligence initiatives. You will lead the evolution and scalability of complex data pipelines while ensuring strong data quality, governance, and observability. The position combines cloud architecture, advanced data engineering, and graph-based modeling in a high-volume production environment. You will collaborate closely with engineering, product, architecture, security, and business teams to shape the future of the platform. The role also provides exposure to emerging capabilities involving analytics, artificial intelligence, intelligent agents, and relationship intelligence.

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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringGraph ModelingFraud IntelligenceData GovernanceGraph DatabasesCloud InfrastructureData Pipelines

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where graph modeling was part of your work. What did you do?
  3. Tell me about a project where fraud intelligence was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Walk me through how you've used Graph Databases in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Graph Modeling, Fraud Intelligence, Data Governance, and Graph Databases. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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