Research and Insights Analyst

Liminal is the actionable intelligence company. We've built a proprietary Living Graph — a verified knowledge architecture that maps the real-time structure of Identity, Fraud, and Cybersecurity — and the agentic AI systems and human verification layer to make it trustworthy. Visa, Mastercard, Google, and JPMC use it to make strategic and revenue decisions. Series A, 80 people, offices in NYC, Salt Lake City, Porto, Lisbon, and Manila.

The architecture works, the customers are real, and we're scaling the team.

Most market intelligence has never been reviewed by a domain expert — a bot scraped it, an algorithm scored it, and it landed on a dashboard with a confidence level that means nothing. At Liminal, that's the problem we built the Analyst Desk to solve.

The Analyst Desk is the human-in-the-loop verification layer behind every piece of intelligence Liminal delivers. It's staffed by domain experts recruited from Identity, Fraud, and Cybersecurity — people who don't need a briefing on the market because they spent their careers in it. AI finds the signal. The Analyst Desk verifies the truth. That's the loop that makes the system trustworthy, and it's why Visa, Mastercard, Google, and JPMC trust what they see on the platform.

We're looking for a Senior Research Analyst to join the Analyst Desk with deep expertise — or serious intellectual appetite — in one or more of our core domains: fraud prevention, cybersecurity, regulatory compliance, and trust and safety. You'll conduct qualitative and quantitative research across the markets we cover, validate intelligence before it reaches customers, and serve as a subject matter expert who engages directly with industry leaders and shapes how Liminal covers your domain.

This isn't a back-office research role. Your analysis shapes the intelligence that enterprise customers use to validate strategy, displace competitors, and enter new markets. Your expertise doesn't just inform the product — it's what makes it trustworthy.

In your first 30 days, you've immersed yourself in Liminal's coverage across your domain areas, understand the Analyst Desk verification workflow and taxonomy, and have delivered your first reviewed research output.

In your first 90 days, you've built a working cadence of signal validation, insight review, and original research deliverables. You've conducted your first analyst briefings with industry leaders and are actively refining how the Living Graph models fraud prevention, cybersecurity, regulatory compliance, and trust and safety.

In your first year, you're recognized internally and externally as a subject matter expert. Your verification work and original research directly inform customer intelligence, platform content, and strategic recommendations — and you've measurably improved the depth and accuracy of Liminal's coverage across your domains.

• Validate incoming signals and intelligence outputs for accuracy, relevance, and completeness as part of the Analyst Desk verification workflow — ensuring nothing reaches customers unverified
• Conduct in-depth qualitative and quantitative research across fraud prevention, cybersecurity, regulatory compliance, and trust and safety, synthesizing proprietary platform intelligence and external sources into actionable deliverables
• Refine and maintain the Living Graph's taxonomy and ontology across your domain areas — keeping the system's market structure current as competitive boundaries shift, categories emerge, and regulations evolve
• Layer expert commentary and strategic context across Command dashboards, GTM battle cards, and market briefings — so customers spend less time interpreting raw data and more time making decisions
• Conduct interviews, analyst briefings, and buyer demand surveys with senior executives, market experts, and vendor teams — generating primary research that doesn't exist on the open internet
• Analyze large datasets to identify trends, correlations, and anomalies, and build clear data visualizations that communicate findings to technical and non-technical audiences
• Collaborate with engineering, data science, and product teams to…