Fraud Data Analyst
Fraud Data Analyst
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Job Description
****Local to Cupertino only***Must be local to Cupertino***
6 months
full linkedin
Date of birth
NO FAKE RESUMES
Job Title: Fraud Data Analyst
Company: Big Four Client
Location: Bay Area (CA)
Work Authorization: U.S. Citizen or Green Card Holder
Duration: 7 Months
Must have: Development to design and implement fraud monitoring solutions
and fraud prevention strategies.
Analyze large datasets to identify trends patterns and anomalies related to gift
card fraud.
Develop and maintain dashboards and reports that monitors suspicious activities
trends.
Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
Collaborate with other fraud analysts data scientists and engineers to develop
fraud prevention tools systems and products.
Overview
We are seeking an experienced Fraud Data Analyst specializing in gift card fraud to join our team in the Bay this critical role you will leverage your advanced PySpark expertise (6 9 years) and strong analytical skills to develop and implement robust fraud monitoring solutions that protect our customers business. You will work cross-functionally with Fraud Legal Operations Product and Business Development teams to proactively detect analyze and mitigate complex gift card fraud schemes.
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.
If you are interested or have any references please share resume at
Employment Type
Full-time
