Hybrid Fraud Data Scientist | Lead Analytics & Strategy

Green Dot Corporation; Los Angeles (CA); Hybrid; USD 139,000 - 208,000; Full time

Job summary

Green Dot Corporation is seeking a Fraud Data Scientist (P5) to lead data-driven fraud strategy and analytics. You will partner with CES, BSA/AML, and Disputes to translate insights into customer-friendly controls and reduced losses, while mentoring junior analysts.

You will design models, work with large, diverse data sources, and communicate findings through dashboards, driving improvements in fraud handling and customer experience.

Qualifications

• 10+ years of data science or data analysis experience.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or related field.
• Strong programming in SQL, SAS, Python or equivalent.
• Experience with customer segmentation and root-cause/variance analysis.
• Ability to partner with operational teams to translate data insights into workflow improvements.

Responsibilities

• Lead fraud prevention by designing rules and documenting implementations.
• Analyze data to identify emerging fraud trends and advise cross-functional partners.
• Develop methods to consolidate diverse big data sources for actionable insights.
• Partner with CES, BSA/AML, and Disputes to align detection with operations.
• Mentor junior data scientists and contribute to fraud analytics practice.
• Create dashboards and data storytelling tools to communicate trends.

Skills

SQL

SAS

Python

Customer segmentation

Root-cause analysis

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or related field

Tools

Falcon

PRM

VRM

SecurLOCK

Mastercard Connect

SageMaker

SAS for model development

Job description

Green Dot Corporation is seeking a Fraud Data Scientist (P5) to lead data-driven fraud strategy and analytics. You will partner with CES, BSA/AML, and Disputes to translate insights into customer-friendly controls and reduced losses, while mentoring junior analysts.

You will design models, work with large, diverse data sources, and communicate findings through dashboards, driving improvements in fraud handling and customer experience.