Fraud Operations Analyst

Forward Financing•Salt Lake City, UT

17h•Remote

About The Position

The Fraud Operations Analyst is the front line of Forward Financing’s fraud defense, protecting the business and its customers while supporting a low-friction experience for legitimate applicants. The analyst investigates applications and accounts, makes sound and well-documented decisions, and identifies patterns in the cases reviewed. Most of the role is spent reviewing fraud cases flagged by automated rules or escalated manually, with additional time devoted to reviewing defaults and working on ad hoc analytical and process-improvement projects. The role uses a variety of data sources, including fraud investigation tools, digital risk, credit bureau data, bank transactions, unconventional data sources, and internal performance data, to evaluate risk for new and repeat customers. It addresses both first-party and third-party fraud and works closely with the underwriting team, as well as teams across sales, operations, analytics, portfolio strategy, customer experience, legal, and compliance. The position is scheduled for 9 AM–6 PM MST (11 AM–8 PM EST) and is described as having high visibility within underwriting and an important role in mitigating risk. This is an opportunity for a curious, creative, self-directed problem solver who wants to build and own processes. The analyst will work with raw data to analyze fraud trends and pipeline performance, with opportunities to learn and apply SQL, and will use AI tools to accelerate investigations, analysis, and documentation and explore new applications of AI in fraud operations. The company describes the role as remote-first, with employees welcome to work from its office locations.

Requirements

At least 3 years of underwriting, credit risk, or fraud experience in consumer or business lending.
Highly analytical mindset and genuine enjoyment of solving complex, puzzle-like business problems.
Enthusiasm for working with data and analytical tools such as SQL and decision trees, and willingness to expand technical and domain expertise in fraud and credit risk management.
Hands-on attitude and ability to prioritize and manage multiple deliverables effectively.
Excellent written and storytelling skills, and confidence collaborating across diverse departments.
Ability to work 11 AM–8 PM ET (9 AM–6 PM MST).

Responsibilities

Investigate applications and accounts and make timely, well-documented decisions that balance fraud prevention with a low-friction applicant and customer experience.
Review fraud disputes and defaults, and assess ISO risk to identify emerging fraud patterns.
Propose policies, process changes, and guardrails to address gaps and vulnerabilities in fraud and credit risk defenses.
Complete ad hoc analytical and process-improvement projects addressing new business problems.
Analyze fraud trends and pipeline performance using raw data.
Use AI tools to accelerate investigations, analysis, and documentation, and identify innovative applications of AI in fraud operations.
Collaborate with underwriting, sales, operations, analytics, portfolio strategy, customer experience, legal, and compliance.
Review cases flagged by automated rules or escalated manually, and evaluate risk for new and repeat customers using varied data sources.