Financial Fraud Risk Analyst

Warner Bros. Discovery

. Review and validate the performance of machine learning models .

Posted 10/21/2026full-timeMexico City • MexicoJuniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in fraud analytics, including the review and validation of machine learning models and the implementation of fraud detection strategies. Proficient in SQL and experienced in collaborating with cross-functional teams to enhance fraud prevention measures.

Highest-signal resume keywords

Fraud Analytics ExperienceSQL ProficiencyProject Management SkillsCollaboration With Cross-Functional TeamsExperience With Fraud Vendors

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine Learning Model ValidationAnomaly Detection ImplementationETL ProcessingData VisualizationFraud Rule Creation

Soft Skills

Strong CommunicationProactive Investigation

Tools & Technologies

TableauPowerBILooker

Industry Keywords

Payment Industry RegulationsChargeback MonitoringFraud PreventionBusiness Policy Rules

Tech Stack

Tools & technologies

ETLSQLTableau

About the role

Key responsibilities & impact

Review and validate the performance of machine learning models
Create and review fraud rules to complement models or support business policy rules
Provide feedback to models to continually improve their efficacy
Implement anomaly detection alerts to capture potential fraud and abuse faster
Conduct proactive investigations to identify fraud and abuse trends incorrectly tagged by the model and update the tagging, including false positives and false negatives
Collaborate with Payment Operations on chargeback monitoring and payment method risks
Work with Customer Service to improve communications around payment fraud and abuse issues
Collaborate with Payment Product and Engineering teams on feature requests and enhancements
Support detection and prevention of fraud and abuse risks across WBD properties

Requirements

What you’ll need

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
Proficient in SQL
Direct experience working with fraud vendors that use machine learning and rules systems
Experience in ETL processing and/or data visualization tools (Tableau, PowerBI, Looker) is a plus
Familiarity with payment industry regulations is a plus

Benefits

Comp & perks

Equal opportunity employer
Disability adjustments or accommodations during the job application and/or recruitment process