Global Fraud Risk Analyst

Warner Bros. Discovery

Ciudad de México

On-site

MXN 240,000 - 380,000

Full time

3 days ago
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Job summary

Skydance is seeking a Fraud Risk Analyst to join the Global Fraud & Abuse Operations team and help detect and prevent risks across all properties. You will validate ML models, tune fraud rules, and provide actionable feedback to improve detection while protecting the consumer experience.

The role involves working in a 24x7 global operations environment with cross-functional collaboration to monitor payment risks and improve fraud processes.

Qualifications

  • At least 1+ years of experience in fraud analytics.
  • Bachelor’s degree in Finance, Economics, Analytics, Statistics or other similar discipline or comparable business experience
  • Availability to work a designated shift from Tuesday through Thursday as part of a 24x7 global fraud operations environment.
  • Strong project management skills, with the ability to manage multiple initiatives, coordinate cross-functional stakeholders, track deliverables, and drive projects through completion.

Responsibilities

  • Reviewing and validating the performance of machine learning models.
  • Creating and reviewing fraud rules to complement the models or to support business policy rules.
  • Providing feedback to the models to continually improve their efficacy.
  • Collaborate with teams to drive initiatives across Payment Operations, Customer Service, and Product/Engineering.

Skills

Fraud analytics
SQL
Machine learning
Cross-functional collaboration

Education

Bachelor’s degree in Finance, Economics, Analytics, Statistics or similar

Tools

Tableau
Power BI
Looker

Job description

Skydance is seeking a Fraud Risk Analyst to join the Global Fraud & Abuse Operations team and help detect and prevent risks across all properties. You will validate ML models, tune fraud rules, and provide actionable feedback to improve detection while protecting the consumer experience.

The role involves working in a 24x7 global operations environment with cross-functional collaboration to monitor payment risks and improve fraud processes.

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