---
title: 'Cyber Threat Intelligence Principal at CyberCube'
canonical: 'https://feeny.ai/job/cyber-threat-intelligence-principal-cybercube-london-exmckmc41ghh'
type: 'job'
last_seen: '2026-09-23'
---

# Cyber Threat Intelligence Principal at CyberCube

- **Company:** CyberCube
- **Location:** London, United Kingdom
- **Compensation:** $185k–$235k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-23
- **Apply:** https://jobs.ashbyhq.com/cybcube/6a99fffb-c2d1-4675-acb0-59b344fbb8b9

## Job description

[About CyberCube:](https://www.cybcube.com/careers) CyberCube delivers the world's leading analytics to quantify digital risk, helping the largest global carriers, reinsurers and brokers understand, price and manage cyber risk in financial terms.

- AI at our foundation, cyber risk at our core. We don't just use AI, we shape it.
- Built on AI from day one. Artificial intelligence has been part of our strategy since the beginning, blended with deep cybersecurity and insurance expertise and backed by rigorous testing.
- Trusted by more than 100 clients, including 75% of the top 40 European and US cyber insurance carriers and 70% of the top ten reinsurance brokers.
- Backed for global growth. In 2025 Spectrum Equity joined some of CyberCube’s financial partners as a new cornerstone investor, accelerating our global growth and fueling innovation across our end-to-end cyber risk analytics for the insurance industry.
- A truly global team across San Francisco, New York, London, and Tallinn.
- A culture of collaboration, openness, intellectual rigor, and ownership for excellence.
- People at the forefront. We encourage CyberCubers to challenge themselves, push boundaries, and do the best work of their careers.

The Impact You Will Make

- Work in a team of cyber threat analysts, economists, data scientists, actuaries and risk modelers to develop insights, scores, and features for a suite of products delivering cyber risk analytics to the (re)insurance industry
- Own CyberCube's point of view on technology risk including factors such as:
- Offensive capabilities and trends among threat actor classes, and validating CyberCube models against observed real-world events,
- Security hygiene standards (e.g. NIST CSF, CIS) and mitigations for companies to lower their potential likelihood and/or impact of events, and
- Technology adoption and trends including the adoption, reliance on and governance of artificial intelligence … translating these factors into the assumptions and scenarios that drive risk models – especially where historical data is limited
- Own the scenario and "event family" library for cyber catastrophe modeling, including emerging AI-driven scenarios
- Own the assumptions register and expert-judgment governance: the documented, client-defensible rationale for modeling choices that are not purely data-driven
- Present CyberCube methodology, threat landscape and emerging risk trends to clients and prospects and engage in strategic dialogue with key stakeholders as one of CyberCube's key voices and thought leaders on technology risk. Be able to differentiate when speaking with varying technical backgrounds and seniority (e.g. analyst to C-Suite)
- Engage in cross functional collaboration with stakeholders from engineering, product management, analytics personnel, and client facing teams to deliver on projects and product goals
- Deliver various cyber threat intelligence reports – e.g. threat landscape, scenario libraries, changes to mitigation and exploitation assumptions, etc. – on a quarterly cadence

The Skills and Experience You Will Bring

- Bachelor's or master's degree in cyber security, computer science, statistics, economics, mathematics, or related field
- 5+ years experience in offensive and/or defensive cyber security (CISSP, CEH, CISM, CompTIA Security+, or other certification preferred)
- Working fluency in Python / R, SQL, flat files and complex data types (JSON, XML), APIs, and Excel — enough to specify and interpret analysis with Data/Analytics teams
- Ability to translate real-world cyber threat behavior into modeling assumptions and scenarios – e.g. scenario likelihoods, severity, and mitigation impacts
- Intellectual curiosity, willingness to learn new skills, and push ideas forward
- Strong critical thinking and problem-solving skills
- Executive-level communication and consulting presence with key stakeholders
- Experience working in and leading project teams
- Ability to work in an agile, fast-paced startup environment
- Ability to maintain relationships, collaborate effectively, and meet deadlines with a distributed, remote-first workforce
- Ability to think creatively and respond to emerging threats (cyber, AI, other) and their modeling implications in a timely manner

The Extra Credit, or The Focus Areas You Will Develop

- Experience with analytics and risk modeling
- Experience in a SaaS product development environment
- Familiarity with ML techniques and statistical data analysis
- Familiarity with AI / LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions, and critical infrastructure
- Familiarity with a wide variety of Internet technologies such as BGP, TCP/IP, DNS, etc.

## Why You'll Love it Here

- Play an instrumental role in reshaping one of the key industries in the world
- Flexible working hours and the option to work remotely
- Opportunity to participate in a secondment program
- Company-supported mentorship program
- Grow in a collaborative, respectful, and empathetic culture

US specific

- Competitive salary and unlimited PTO
- Generous healthcare benefits with medical, dental and vision coverage
- Monthly catered lunches and happy hours
- Company-paid learning and development assistance
- Dependant care assistance plan

UK specific

- Competitive salary, pension and benefits
- Generous private medical healthcare insurance with dental and vision coverage
- Extra vacation days during winter holidays

AI Fluency at CyberCube AI is reshaping how work gets done across every function. We value people who are curious about AI, eager to learn, and thoughtful about applying AI tools to work more effectively. AI fluency is part of how we assess every role in our hiring process.

Don't tick every box? Apply anyway. Research shows the best candidates rarely match a job description point for point. If you're excited about this role and believe you could make an impact, we'd love to hear from you, even if your experience doesn't line up perfectly with everything listed above.

CyberCube Analytics, Inc. and CyberCube Analytics Europe Limited is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

## About CyberCube

## Company Overview
- **One-liner**: CyberCube delivers world-leading cyber risk analytics and modeling SaaS solutions to help the insurance ecosystem quantify, underwrite, and manage cyber risk.
- **Entity Type**: Private – VC‑backed with multiple funding rounds (Series A, Series B, and a $180M+ investment in 2025 from Spectrum Equity)
- **Headquarters**: San Francisco, California, USA (additional offices in Chicago, New York, London, and Tallinn)
- **Founded**: 2018 (spun out from Symantec)
- **Founders**: Pascal Millaire (former General Manager of the Symantec division) and Ashwin Kashyap (Co‑Founder & CPO); the company launched as a standalone VC‑backed entity in 2018.

## Core Business
- **Primary industry**: Cyber risk quantification and analytics for the insurance industry (includes insurers, reinsurers, brokers, MGAs, and insurance‑linked securities markets).
- **Target customers**: B2B – specifically (re)insurance carriers, brokers, reinsurance brokers, MGAs, regulators/rating agencies, and insurance‑linked securities investors.
- **Mission or purpose statement**: “Quantify the impact of catastrophic cyber events to make informed policy decisions … deliver world‑leading analytics to quantify cyber risk and improve the resilience of organizations and society.”

## Products & Services
- **Cyber Risk Analytics Platform (SaaS)**: A suite of cloud‑based applications that enable insurance placement, underwriting selection, portfolio management, and catastrophe modeling. Uses AI and vast data sets (over 1 billion technology dependencies) to model cyber risk in financial terms. Is transparent about data sources, methodologies, and model assumptions.
- **Scenario‑based Models**: Provides the “widest array of representative, explainable cyber scenarios” to help clients stress‑test portfolios and set risk tolerance thresholds.
- **Advisory & Support**: Dedicated support teams and consulting to help clients customise analytics and upskill underwriting teams.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed; latest capital injection of $180M+ from Spectrum Equity in 2025.
- **Key Metric (Funding)**: Total funding includes Series A (led by Forgepoint Capital), Series B (led by Hudson Structured Capital Management along with MTech Capital and individuals from Stone Point Capital), additional growth capital from Morgan Stanley Tactical Value (2022), and the $180M+ investment from Spectrum Equity (2025).
- **Notable Investors/Partners**: Forgepoint Capital, Hudson Structured Capital Management, MTech Capital, Stone Point Capital, Morgan Stanley Tactical Value, and Spectrum Equity. Also a signatory to the UN Global Compact.
- **Growth Signals**: 
  - Used to model over 70% of global cyber premiums.
  - 75% of the top 40 European and US cyber insurance carriers utilize CyberCube analytics.
  - 70% of the top ten reinsurance brokers use CyberCube.
  - 50% of the top 20 reinsurance carriers analyze their portfolios with CyberCube.
  - Over 100 leading institutions as clients (as of 2023).
  - Office expansions into New York and Chicago (2022) and a recent cornerstone investment from Spectrum Equity (2025) to accelerate global growth.

## Competitive Advantages
- **Market‑leading penetration**: Already embedded in the infrastructure of the global cyber (re)insurance market.
- **Multidisciplinary team**: Combines expertise from cybersecurity, data science, actuarial science, software engineering, and insurance – a rare blend.
- **Transparency**: Open about data sources, models, and methodologies – builds trust with risk‑averse clients.
- **AI‑driven innovation**: Uses artificial intelligence as a core component to process vast data and deliver forward‑looking insights.
- **Scale of data**: Over 1 billion technology dependencies mapped to model cyber risk at a granular level.

## Strategic Focus
- **Global expansion**: Using the Spectrum Equity investment to accelerate international growth and fuel product innovation.
- **End‑to‑end analytics**: Moving beyond underwriting to cover the full risk lifecycle – portfolio management, capital modeling, and insurance‑linked securities.
- **ESG & sustainability**: Committed to the UN Global Compact and cross‑functional ESG initiatives, integrating responsible practices into operations.
- **Talent development**: Investing in employee learning and development budgets, volunteer days, and a supportive remote‑first culture.

## Why Work Here
- **Culture**: “Put people at the forefront” with a focus on wellbeing, personal development, trust, and openness. Core values include collaboration, intellectual rigor, and making an impact.
- **Work model**: Hybrid workspace with flexible remote policies – employees are expected to be on‑site periodically (typical time on‑site is flexible). Offices in San Francisco, Chicago, New York, London, and Tallinn.
- **Notable perks**: Learning & development budget, cement programs, volunteer days, and an inclusive environment that champions diversity. Recognized with awards for product innovation, culture, and employee satisfaction.
- **Engineering culture**: Multidisciplinary teams – data scientists, actuaries, software engineers, and cyber experts work closely. “The best of Silicon Valley meets the best of the insurance industry.”
- **Mission‑driven**: “Help society become more resilient to cyber risk” – employees feel their work has tangible societal impact.

## Sources
1. [cybcube.com - Home](https://www.cybcube.com/)
2. [cybcube.com - About Us](https://www.cybcube.com/about)
3. [cybcube.com - Careers](https://www.cybcube.com/careers)
4. [cybcube.com - Working for CyberCube video](https://www.cybcube.com/videos/working-for-cybercube)
5. [builtin.com - CyberCube profile](https://builtin.com/company/cybcube-analytics)

## Other roles at CyberCube

- [Senior Director, Marketing](https://feeny.ai/job/senior-director-marketing-cybercube-london-zynnkjcz6w7a) — London, United Kingdom
- [Senior Director, (Re)Insurance Sales](https://feeny.ai/job/senior-director-re-insurance-sales-cybercube-new-york-0cbjykrmgerx) — New York, NY
- [Cyber Threat Intelligence Lead](https://feeny.ai/job/cyber-threat-intelligence-lead-cybercube-london-323r0qjrkfvr) — London, United Kingdom
- [Site Reliability Engineer](https://feeny.ai/job/site-reliability-engineer-cybercube-tallinn-gwbekh727f2x) — Tallinn, Estonia
- [Senior Full-Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-cybercube-tallinn-xjdp2vc9vf0d) — Tallinn, Estonia