Fraud Intelligence Analyst New Grad

About Us

Dashly is a fraud intelligence startup that uses data across employers, insurers, and contractors to fight fraud in injury claims. We expose fraud networks that cost Americans billions of dollars annually, slow commercial development, and erode trust in blue-collar industries.

Backed by Mosaic GP, Altai Ventures, and Remarkable Ventures, with a $5.8M seed round.

About the Role

Fraud is rarely one person acting alone. Organized claim fraud is often run by networks: groups of associated people acting together through a pattern of related claims over time. The cost falls on carriers, contractors, and the industries that depend on fair claims. The evidence is public but fragmented across dockets, deposition transcripts, claim files, and social media.

Dashly investigates organized fraud enterprises: formal or informal groups of individuals, and the counsel, providers, and associates around them, linked by shared addresses, phone numbers, employers, and narratives. We build cases around the structure of organized fraud: the enterprise, each member's association with it, a pattern of related conduct, how long that conduct continues, and its reach across state lines. Our work gives clients and their counsel evidence for fraud litigation.

As a Fraud Intelligence Analyst, you will design, run, and QA the automated OSINT workflows behind our investigations. You will build and orchestrate agentic AI workflows (LLM agents) for account discovery and attribution, court-filing and deposition extraction, media review, and report drafting. You will integrate third-party OSINT, licensed, and public-records data sources via API, and you will own detection quality (precision, recall, and false-positive rate) across the pipeline.

This role suits a recent graduate in cybercrime, cybersecurity, criminal justice, intelligence, computer science, or a related field who combines a builder's mindset with an investigator's rigor. Prior military or government experience is welcome.

What You'll Do

• Design and operationalize automated OSINT workflows that take a claim from initial identifiers to a finished report: account discovery, attribution, collection, court-document extraction, and link analysis.

• Build, prompt, and supervise AI agents and LLM-based automation for investigative tasks, with human-in-the-loop verification before any output reaches a client.

• Integrate OSINT, licensed, and public-records data sources through their APIs, and evaluate each new data source on historical cases before production use.

• Measure and improve detection quality: track precision, recall, and false-positive and false-negative rates against analyst-confirmed accounts, and tune workflows accordingly.

• Identify, attribute, and verify claimants' online accounts and records using strong identifiers (address, phone, email, date of birth).

• Review public photos and posts and flag activity that contradicts claimant testimony or statements to the insurer.

• Extract facts from court filings, deposition transcripts, and claim files, and use link analysis to map relationships among claimants, counsel, addresses, phone numbers, and associates, documenting enterprise structure, member associations, and patterns of related conduct across claims.

• Produce clear, evidence-backed investigative reports that clients and their counsel can use in fraud litigation.

• Partner with senior investigators and engineers to refine investigative methods, tooling, and report quality.

Qualifications

• Required: Experience using AI coding agents, terminal coding agents, or CLI-based AI development tools for research, writing, or code, with the judgment to validate their output (Claude Code, Codex, Antigravity, or open source tools).

• Bachelor's or master's degree (or in progress) in cybercrime, cybersecurity, criminal justice, intelligence, computer science, or a related field.

• 0-2 years of experience in OSINT, investigations, threat intelligence, or a related discipline, including coursework, internships, CTF competitions, or military or government service.

• Working knowledge of OSINT collection and analysis techniques and rigorous source documentation.

Preferred Qualifications

• Experience integrating REST APIs and working with structured data (JSON), SQL for querying and analyzing large datasets.

• Familiarity with graph and network analysis for detecting linked actor structures.

• Understanding of detection-performance concepts (precision, recall, false positives).

• Familiarity with court records and legal documents, including dockets, deposition transcripts, and fraud complaints.

• Proficiency in Python or a similar scripting language for data analysis and task automation.

Compensation & Benefits

• Compensation: The base salary range is $70,000 – $100,000, with flexibility depending on a candidate's background and experience. A company equity plan is also included in our compensation package.

• Well-being: 100% medical coverage with dental and vision.

• Sponsorship: We welcome candidates on OPT (Optional Practical Training). We do not offer other visa sponsorship.

• Location: This role is based on-site 5 days per week in our Chelsea, NY office.

• Work Expectations: This role requires a minimum of 50 hours per week.

Thank you for your interest in Dashly Intelligence. Dashly Intelligence is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need a reasonable accommodation during the application process, please contact our Recruiting team.