Senior Insurance Fraud & Claims Investigation Specialist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 22h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-10-30). Last seen at its source 9h ago.
We have tracked this listing since 30 Oct 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 9 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States, Canada, Australia, United Kingdom
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 3d ago · last seen 9h ago
The listing
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking experienced Insurance Claims Investigation and Evidence Review Specialists to contribute to a specialized AI training and evaluation project focused on identifying staged-loss incidents and fraudulent insurance claims.
In this role, you will apply your investigative and forensic expertise to analyze digital claim evidence, reconstruct accident or loss events, and assess the authenticity and causation of reported incidents. You will work with CCTV and dashcam footage, scene photographs, witness statements, engineering reports, and other technical evidence to produce clear, evidence-based assessments.
The ideal candidate has at least 7 years of relevant experience in special investigations, insurance fraud detection, forensic engineering, or fleet safety review. Your professional judgment and ability to identify inconsistencies in complex claims will help improve the accuracy and reliability of next-generation AI systems.
Previous AI experience is not required. Your investigative expertise is what matters most.
Job Type: Contractor
Location: Remote – Fully Remote
Key Responsibilities
Analyze digital claim evidence, including CCTV footage, dashcam recordings, scene photographs, witness statements, and engineering reports.
Identify inconsistencies, anomalies, and indicators that may suggest staged incidents or fraudulent claims.
Reconstruct accident and loss events using visual, technical, and documented evidence.
Assess the authenticity of reported incidents and evaluate potential causes of loss.
Prepare detailed, structured written assessments suitable for Special Investigation Unit (SIU) investigators, forensic engineers, and insurance professionals.
Explain investigative findings and support conclusions with clear, objective evidence.
Identify patterns associated with staged-loss incidents, suspicious claims, and potentially organized fraud schemes.
Review technical reports, visual evidence, and claim documentation for accuracy and consistency.
Contribute investigative insights and industry best practices to AI training and evaluation datasets.
Collaborate remotely with project stakeholders and provide professional feedback and clarifications.
Requirements
Minimum 7 years of relevant professional experience in one or more of the following areas:
Special Investigations / Special Investigation Units (SIU)
Insurance Fraud Detection
Claims Investigation
Forensic Engineering
Fleet Safety Investigation or Review
Demonstrated experience analyzing insurance claim evidence and evaluating incident authenticity and causation.
Strong ability to interpret visual evidence, technical reports, statements, and supporting documentation.
Experience identifying inconsistencies and potential indicators of staged-loss incidents or fraudulent activity.
Excellent analytical and critical-thinking skills.
Strong written communication skills, with the ability to produce detailed, evidence-based investigative reports.
Ability to work independently and communicate findings clearly in a remote environment.