Expert Data Modeler, Fraud Risk Detection

Role overview

This position supports an analytics function within financial services, focused on building and maintaining data models that enable fraud risk detection. It is an expert-level, full-time role operating remotely with a San Diego, California home base listed for the work location. The work centers on translating fraud detection needs into well-structured, reliable data assets used across the analytics organization.

Responsibilities

- Design, build, and refine data models that support fraud risk detection use cases - Partner with analytics colleagues to align data structures with fraud-detection objectives - Maintain data integrity and consistency across fraud-related datasets - Document modeling standards and decisions for downstream stakeholders - Contribute modeling expertise within a financial services analytics environment

Requirements

- Demonstrated expertise in data modeling for analytics applications - Experience working with fraud risk or financial services data contexts - Ability to operate independently in a remote, expert-level capacity - Familiarity with analytics workflows that translate business requirements into technical data designs

Benefits and work setup

- Full-time schedule on day shift hours - Remote/home-based work arrangement - Posted salary range of $103,669 to $179,693 - 20 days of flexible time off per year