Senior Fraud Risk Analyst, Global Platform

Sony; San Diego (CA); Presencial; USD 155.000 - 175.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) plan

Employee discounts

Stock purchase plan

Descripción de la vacante

Sony seeks a Senior Risk Analyst to support the Sony Engagement Platform, partnering with Sony operating companies to identify emerging fraud risks, strengthen detection and prevention capabilities, and drive data-driven mitigation across global platform operations.

You will work cross-functionally with data scientists, ML engineers, fraud strategists, and analysts to identify patterns, optimize detection systems, and balance risk reduction with user experience.

Formación

• 8+ years of experience in fraud analytics, risk strategy, or a related quantitative field.
• Expert-level SQL proficiency with a proven track record of writing complex queries.
• Experience with data visualization tools (Tableau, Domo, Splunk).
• Deep understanding of fraud typologies, risk scoring, and lifecycle in eCommerce or digital platforms.
• Able to communicate complex findings to technical and non-technical audiences.

Responsabilidades

• Own ongoing monitoring of fraud performance across Sony operating companies and produce actionable reporting.
• Lead analytical investigations into fraud trends to identify root causes and mitigate risk.
• Analyze large datasets using SQL to validate hypotheses and develop dashboards and reporting logic.
• Collaborate with SIE Global Fraud, Risk & Identity and Sony Engagement Platform stakeholders.
• Build and maintain dashboards, KPIs, and alerting frameworks for monitoring fraud activity.

Conocimientos

SQL proficiency

Data Visualization

Fraud Analytics

Risk Strategy

Stakeholder Communication

Educación

Statistics / Economics / CS

Herramientas

Tableau

Domo

Splunk

Snowflake

Descripción del empleo

Sony seeks a Senior Risk Analyst to support the Sony Engagement Platform, partnering with Sony operating companies to identify emerging fraud risks, strengthen detection and prevention capabilities, and drive data-driven mitigation across global platform operations.

You will work cross-functionally with data scientists, ML engineers, fraud strategists, and analysts to identify patterns, optimize detection systems, and balance risk reduction with user experience.