Senior Data Modeler – Fraud Risk (Remote)

Hidden Jobs; United States; Remote; USD 104,000 - 180,000; Full time

Benefits offered by this job

Flexible time off (20 days)

Job summary

Hidden Jobs is seeking an expert-level data modeler to build and maintain data assets that power fraud risk detection within a financial services analytics environment. This full-time, remote role lists San Diego, California as the work location base.

You will design and refine models for fraud-use cases, collaborate with analytics colleagues, ensure data integrity across datasets, and document modeling standards for downstream teams.

Qualifications

• Expert-level data modeling experience for analytics applications.
• Experience with fraud risk or financial services data contexts.
• Ability to operate independently in a remote, expert-level capacity.
• Familiarity with analytics workflows translating business requirements into data designs.

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.

Skills

Data modeling

Fraud risk analytics

Remote work

Independent work

Analytics workflows

Job description

Hidden Jobs is seeking an expert-level data modeler to build and maintain data assets that power fraud risk detection within a financial services analytics environment. This full-time, remote role lists San Diego, California as the work location base.

You will design and refine models for fraud-use cases, collaborate with analytics colleagues, ensure data integrity across datasets, and document modeling standards for downstream teams.