Fraud Data Analyst | Cupertino, California (Onsite)

Hi,

Position: Fraud Data Analyst

Location: Cupertino, California (Onsite)

Duration: 12+ Months

Interview Mode: Video

ONLY GC, USC

JD

Key Responsibilities

• Collaborate with cross-functional teams including Fraud, Legal, Operations, Product, and Business Development to design and implement scalable fraud monitoring solutions and dynamic fraud prevention strategies.
• Analyze large-scale transactional and behavioral datasets using advanced PySpark to uncover trends, patterns, and emerging anomalies related to gift card fraud.
• Develop and maintain insightful dashboards and regular reports to monitor suspicious activity trends and fraudulent behaviors.
• Create and track fraud-specific Key Performance Indicators (KPIs) to measure and optimize the effectiveness of fraud prevention initiatives.
• Proactively identify and assess new and emerging gift card fraud schemes, recommending and executing risk mitigation strategies.
• Partner with other fraud analysts, data scientists, and engineers to build and refine fraud prevention tools, machine learning models, and monitoring systems.
• Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

• Advanced-level proficiency in PySpark (6 9 years of hands-on experience), including large-scale data processing and ETL workflows.
• Demonstrated experience in fraud detection, ideally with a focus on gift card fraud.
• Strong skills in data analysis, pattern recognition, and statistical modeling.
• Professional experience collaborating with cross-functional business and technical teams.
• Excellent written and verbal communication skills.

Preferred Qualifications:

• Proficiency in SQL and Hadoop for data extraction, manipulation, and analytics.
• Experience developing dashboards and reports using BI tools (e.g., Tableau, PowerBI).

Familiarity with building or evaluating machine learning models for fraud detection.

Thanks & Regards

Niranjan Kumar | Technical Recruiter

Email: [email protected]

Stellent IT | office :