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Banco Plata

Business Analyst Middle - Antifraud

Business AnalysisConfirmed live in the last 24 hours
Full-timeMexicoNo salary listed

About the Job

Requirements

  • Basic SQL proficiency for data validation, exploratory analysis, and alert quality checks.
  • Experience eliciting, documenting, and managing requirements for complex systems, preferably in fintech, banking, or risk.
  • Ability to translate risk needs into clear deliverables for development and data teams, with understanding of service structures such as microservices, integrations, and event flows.
  • Ability to reason analytically and systematically about risk, controls, trade-offs, and measurable outcomes.
  • Experience collaborating across teams and managing stakeholders.
  • Experience with BPMN, UML, DFD, or similar methods to visualize processes, decision points, and data flows.
  • B2 or higher English proficiency for effective communication with an international team.

Responsibilities

  • Collect and formalize stakeholder requirements, prioritize changes based on risk and impact, and lead delivery from discovery through rollout.
  • Facilitate communication between engineering, data and machine-learning, risk operations (Fraud/AML), and product teams to align on the monitoring roadmap and control design.
  • Identify root causes of monitoring and control gaps, including false positives, false negatives, operational bottlenecks, and data quality issues, and coordinate cross-functional resolution.
  • Implement best practices in risk analytics and reporting, including control effectiveness, alert quality, and investigation efficiency, to improve operational performance and risk outcomes.
  • Collaborate with designers and operations to shape investigation and case-management user experience and improve investigator productivity.

Desired Qualifications

  • Experience with business intelligence tools such as Superset or Tableau for dashboards, monitoring, and key performance indicator design.
  • Understanding of APIs and event streaming such as Kafka.
  • Familiarity with transaction monitoring, risk scoring using rules or machine learning, alert triage, case management, and control effectiveness metrics.

About the Company

Company size
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Total funding
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