David Head2 min readOCT 10, 2025

Endorsed Releases FraudShield Applicant-Fraud Analytics


Endorsed Releases FraudShield Applicant-Fraud Analytics

Recruiting teams have had very little public data for understanding how candidate fraud changes across roles and hiring models. At RecOpsCon, we shared an early analysis from FraudShield to help fill that gap.

The data is generated from Endorsed's own fraud-detection results across millions of applicant records. It measures probable applicant fraud, not adjudicated criminal activity.

Fraud Rose Sharply in Remote Engineering Applications

In this sample, probable fraud among applicants to U.S. remote individual-contributor engineering roles rose from about 11% in Q3 2024 to about 44% in Q4 2024. The rate then remained elevated through the first three quarters of 2025.

Engineering Roles Had the Highest Rate

Across the U.S. roles in this analysis, engineering had the highest probable-fraud rate. Product followed, while support, marketing, design, and sales were lower.

Probable applicant fraud by U.S. job family

Individual-Contributor Roles Were Roughly Twice as High

U.S. engineering individual-contributor roles showed a probable-fraud rate of roughly 31%, compared with about 14% for engineering managers in the same analysis.

Probable applicant fraud for individual-contributor and manager engineering roles

Remote Roles Were About Ten Times Higher

Within U.S. engineering individual-contributor roles, the observed probable-fraud rate was about 35% for remote openings and about 4% for on-site openings.

Probable applicant fraud for remote and on-site engineering roles

How to Read This Data

This is a sample of Endorsed customer activity, primarily from Series B through pre-IPO technology companies. It is not a population estimate for every employer, geography, or role. Company stage, industry, applicant source, hiring process, and the mix of remote work can all change the result.

The practical takeaway is not that every remote engineer should face more friction. It is that teams should measure the shape of fraud in their own funnel, review multiple signals together, and protect genuine candidates from being buried by automated or fraudulent applications.