TRM Labs

TRM Labs

Senior Data Researcher

United States · Senior

Sponsorship not specified$160k-$180kDetected 13 days ago
Data AnalysisA/B TestingCybersecurityResearchLeadershipCommunicationCollaborationProblem SolvingAdaptability

Stay score

odds of building a lasting career here

51Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role52
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Insights is the public voice of TRM's research.
  • It connects TRM's intelligence on illicit finance and crime with the press, policymakers and the wider industry.
  • The work is research-led, focused on the story, fast-moving and AI-native.

Responsibilities

  • The research and content workflow runs continuously, and you manage it day to day and week to week.
  • Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM.
  • We are building a safer world.

Requirements

  • 5 to 8 years combining research or data analysis with published writing, including at least one high-impact investigation you led from evidence-gathering to final piece.
  • Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications.
  • Operating with a high degree of ambiguity

Nice to have

  • Deep AI fluency: you already rely heavily on AI across research, analysis, drafting and packaging, and you're comfortable running and quality-checking an agent-based production workflow.
  • Experience in financial crime, sanctions, cybercrime, national security or crypto is a strong plus.

Skills

  • Individual pay is determined by skills, qualifications, experience, and location.
  • Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.

Compensation

  • Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
  • The estimated base salary range for this role is $160,000 - $180,000

Company info

  • Insights is the public voice of TRM's research. It connects TRM's intelligence on illicit finance and crime with the press, policymakers and the wider industry.
  • You'll work closely with Marketing, Communications, TRM's intelligence and investigations teams, product teams, and TRM Academy.
  • The team is small and opinionated, and it owns some of the most visible work TRM produces. Distributed, not distant.
  • Team Operating Rhythms:
  • Weekly Insights research review to set priorities and look at work in progress.
  • A weekly working session with Marketing to plan distribution and timing.
  • Async by default for drafts and methodology review. Meetings are for editorial decisions and launch planning.
  • Learn about TRM Speed in this position:
  • Measurable example #1: Within 30 days, you publish your first piece of original data-backed research on TRM's blog, with a Marketing push behind it.
  • Measurable example #2: Within 60 days, you take a topic you picked through the full cycle (research, narrative, distribution) and show measurable gains in media coverage.
  • Measurable example #3: Within 90 days, you run the research and content workflow end to end, and your research feeds weekly training sessions for TRM Academy instructors.
  • The following represents the expected range of compensation for this role:

This listing is sourced directly from TRM Labs's careers page and normalized into a canonical job model.