Media, Broadcast & Content
Analyst, Financial Fraud Risk
Entry Level
Mexico City, Mexico
in office
Full time
Finance & LegalGovernance & Risk
Job description
About the Role
Skydance is seeking a Fraud Risk Analyst to join its Global Fraud & Abuse Operations Team, supporting the detection and prevention of risks across all WBD properties. The team sits at the forefront of ensuring a seamless and frictionless experience for consumers while protecting the revenue of the business. As a global unit, it operates a 24x7 fraud and abuse function supported by staff across the company's many offices around the world.
Key Responsibilities
- Assist in optimising risk decisions within the fraud platform.
- Review and validate the performance of machine learning models.
- Create and review fraud rules to complement the models or to support business policy rules.
- Provide feedback to the models to continually improve their efficacy.
- Implement anomaly detection alerts to capture potential fraud and abuse faster.
- Implement pro-active investigative processes to find fraud and abuse trends that were incorrectly tagged by the model and update the tagging, addressing false positives and false negatives.
- Collaborate with Payment Operations on chargeback monitoring and on new and existing payment method risks.
- Collaborate with customer service on ways to improve communications around payment fraud and abuse issues.
- Collaborate with Payment Product and Engineering teams on new feature requests and enhancements.
Required Experience & Qualifications
- At least 1+ years of experience in fraud analytics.
- Bachelor's degree in Finance, Economics, Analytics, Statistics or another 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.
- Proficiency in SQL.
- Direct experience working with fraud vendors that use machine learning and rules systems.
Preferred Skills
- Experience in ETL processing and/or data visualisation tools such as Tableau, PowerBI or Looker.
- Familiarity with payment industry regulations.
Create your account to access job details
Unlock full job descriptions, apply in seconds, and get access to roles matched to your experience and interests.
