Remote Fraud & Risk Operations Analyst (AI-Driven)

Forward Financing LLC; Salt Lake City (UT); Remote; USD 65,000 - 95,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Commuter benefits

Flexible time-off

Parental leave

401k match

Wellness reimbursement

Volunteering days

Professional development budget

Charitable donation match

Job summary

Forward Financing LLC, a fintech company with nationwide teams, seeks a Fraud Operations Analyst to protect customers and the business while maintaining a low-friction application experience.

The role involves investigating fraud, analyzing patterns across data sources, and collaborating with underwriting, analytics, and compliance. 9 AM–6 PM MST shift; strong data skills and proactive problem-solving are essential.

Qualifications

• 3+ years of underwriting/credit risk/fraud experience in consumer or business lending.
• Analytical mindset with enjoyment solving complex problems.
• Curiosity to expand knowledge in fraud and risk management, with data tools like SQL.

Responsibilities

• Investigate applications and accounts to make timely, well-documented decisions balancing fraud prevention with a smooth candidate/customer experience.
• Review fraud disputes and defaults to identify emerging patterns and ISO risk.
• Propose policies and guardrails to close gaps in fraud and credit risk defense.
• Take on ad hoc analytical and process-improvement projects addressing new business problems.
• Analyze fraud trends and pipeline performance using raw data; apply SQL where possible.
• Utilize AI tools to accelerate investigations and documentation; explore AI applications in fraud operations.
• Partner with underwriting, sales, operations, analytics, portfolio strategy, customer experience, legal, and compliance.

Skills

Fraud investigation

SQL

Data analysis

Credit risk

Tools

Fraud tools

Credit bureau data

Job description

Forward Financing LLC, a fintech company with nationwide teams, seeks a Fraud Operations Analyst to protect customers and the business while maintaining a low-friction application experience.

The role involves investigating fraud, analyzing patterns across data sources, and collaborating with underwriting, analytics, and compliance. 9 AM–6 PM MST shift; strong data skills and proactive problem-solving are essential.