# Security Research Engineer, Attack Surface & Risk Signals at CyberCube

- Company: CyberCube
- What the company does: CyberCube is the leading cyber risk analytics provider for the insurance industry, translating cyber risk into financial impact across businesses, markets, and society as a whole. Backed by ForgePoint Capital.
- Company website: https://cybcube.com
- Type: Startups
- Level: Mid level
- Location: San Francisco Office
- Work setup: Remote
- Pay: $140K to $160K base salary per year (USD)
- Posted: 2026-10-12
- Apply by: 2026-11-26
- Apply: https://jobs.ashbyhq.com/cybcube/e5bab087-fadf-4a66-8156-a0d6ab418bfa?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/cybercube-security-research-engineer-attack-surface-and-risk-signals/

## About the role

Design Risk Signals: Develop innovative, quantitative signals that accurately measure a company’s exposure to cyber attacks based on their network architecture, asset configurations, and internet footprint. Quantify the Unquantifiable: Translate theoretical cybersecurity concepts and complex network topologies into empirical, actionable risk metrics and assumptions. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Strong Quantitative Acumen: Proven ability to apply mathematical and statistical concepts to real-world problems. You must be able to design quantitative metrics and build logic that scores and sizes risk exposure accurately
- Analytical Mindset: Exceptional problem-solving skills with a track record of conceptualizing complex, abstract security concepts and breaking them down into measurable data points
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related highly quantitative/technical field
- Experience: 3–5+ years of relevant work experience in network engineering, cyber threat research, risk modeling, or a related domain
- Coding for Signal Creation: Proficiency in Python or R to prototype algorithms and turn your theoretical risk concepts into actual programmatic outputs
- Data Querying: Experience with SQL and relational databases to pull, manipulate, and analyze large datasets of asset and configuration data

Tags: Product Organization

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/cybercube-security-research-engineer-attack-surface-and-risk-signals/